How behavioral economics can help to avoid 'The last mile problem' in whole genome sequencing.

PubMed

Blumenthal-Barby, Jennifer S; McGuire, Amy L; Green, Robert C; Ubel, Peter A

2015-01-01

Failure to consider lessons from behavioral economics in the case of whole genome sequencing may cause us to run into the 'last mile problem' - the failure to integrate newly developed technology, on which billions of dollars have been invested, into society in a way that improves human behavior and decision-making.

Do adjunctive flap-monitoring technologies impact clinical decision making? An analysis of microsurgeon preferences and behavior by body region.

PubMed

Bellamy, Justin L; Mundinger, Gerhard S; Flores, José M; Wimmers, Eric G; Yalanis, Georgia C; Rodriguez, Eduardo D; Sacks, Justin M

2015-03-01

Multiple perfusion assessment technologies exist to identify compromised microvascular free flaps. The effectiveness, operability, and cost of each technology vary. The authors investigated surgeon preference and clinical behavior with several perfusion assessment technologies. A questionnaire was sent to members of the American Society for Reconstructive Microsurgery concerning perceptions and frequency of use of several technologies in varied clinical situations. Demographic information was also collected. Adjusted odds ratios were calculated using multinomial logistic regression accounting for clustering of similar practices within institutions/regions. The questionnaire was completed by 157 of 389 participants (40.4 percent response rate). Handheld Doppler was the most commonly preferred free flap-monitoring technology (56.1 percent), followed by implantable Doppler (22.9 percent) and cutaneous tissue oximetry (16.6 percent). Surgeons were significantly more likely to opt for immediate take-back to the operating room when presented with a concerning tissue oximetry readout compared with a concerning handheld Doppler signal (OR, 2.82; p < 0.01), whereas other technologies did not significantly alter postoperative management more than simple handheld Doppler. Clinical decision making did not significantly differ by demographics, training, or practice setup. Although most surgeons still prefer to use standard handheld Doppler for free flap assessment, respondents were significantly more likely to opt for immediate return to the operating room for a concerning tissue oximetry reading than an abnormal Doppler signal. This suggests that tissue oximetry may have the greatest impact on clinical decision making in the postoperative period.

OB CITY-Definition of a Family-Based Intervention for Childhood Obesity Supported by Information and Communication Technologies.

PubMed

Hu, Ruofei; Cancela, Jorge; Arredondo Waldmeyer, Maria Teresa; Cea, Gloria; Vlachopapadopoulou, Elpis-Athina; Fotiadis, Dimitrios I; Fico, Giuseppe

2016-01-01

Childhood obesity is becoming one of the 21st century's most important public health problems. Nowadays, the main treatment of childhood obesity is behavior intervention that aims at improve children's lifestyle to arrest the disease. Information and communication technologies (ICTs) have not been widely employed in this intervention, and most of existing ICTs systems are not having a long-term effect. The purpose of this paper is to define a system to support family-based intervention through a state-of-the-art analysis of family-based interventions and related technological solutions first, and then using the analytic hierarchy process to derive a childhood obesity family-based behavior intervention model, and finally to provide a prototype of a system called OB CITY. The system makes use of applied behavior analysis, affective computing technologies, as well as serious game and gamification techniques, to offer long term services in all care dimensions of the family-based behavioral intervention aiming to provide positive effects to the treatment of childhood obesity.

Health education and multimedia learning: educational psychology and health behavior theory (Part 1).

PubMed

Mas, Francisco G Soto; Plass, Jan; Kane, William M; Papenfuss, Richard L

2003-07-01

When health education researchers began to investigate how individuals make decisions related to health and the factors that influence health behaviors, they referred to frameworks shared by educational and learning research. Health education adopted the basic principles of the cognitive revolution, which were instrumental in advancing the field. There is currently a new challenge to confront: the widespread use of new technologies for health education. To better overcome this challenge, educational psychology and instructional technology theory should be considered. Unfortunately, the passion to incorporate new technologies too often overshadows how people learn or, in particular, how people learn through computer technologies. This two-part article explains how educational theory contributed to the early development of health behavior theory, describes the most relevant multimedia learning theories and constructs, and provides recommendations for developing multimedia health education programs and connecting theory and practice.

If it walks like a duck: nanosensor threat assessment

NASA Astrophysics Data System (ADS)

Chachis, George C.

2003-09-01

A convergence of technologies is making deployment of unattended ground nanosensors operationally feasible in terms of energy, communications for both arbitrated and self-organizing distributed, collective behaviors. A number of nano communications technologies are already making network-centric systems possible for MicroElectrical Mechanical (MEM) sensor devices today. Similar technologies may make NanoElectrical Mechanical (NEM) sensor devices operationally feasible a few years from now. Just as organizational behaviors of large numbers of nanodevices can derive strategies from social insects and other group-oriented animals, bio-inspired heuristics for threat assessment provide a conceptual approach for successful integration of nanosensors into unattended smart sensor networks. Biological models such as the organization of social insects or the dynamics of immune systems show promise as biologically-inspired paradigms for protecting nanosensor networks for security scene analysis and battlespace awareness. The paradox of nanosensors is that the smaller the device is the more useful it is but the smaller it is the more vulnerable it is to a variety of threats. In other words simpler means networked nanosensors are more likely to fall prey to a wide-range of attacks including jamming, spoofing, Janisserian recruitment, Pied-Piper distraction, as well as typical attacks computer network security. Thus, unattended sensor technologies call for network architectures that include security and countermeasures to provide reliable scene analysis or battlespace awareness information. Such network centric architectures may well draw upon a variety of bio-inspired approaches to safeguard, validate and make sense of large quantities of information.

Evaluation of a Telehealth Training Package to Remotely Train Staff to Conduct a Preference Assessment

ERIC Educational Resources Information Center

Higgins, William J.; Luczynski, Kevin C.; Carroll, Regina A.; Fisher, Wayne W.; Mudford, Oliver C.

2017-01-01

Recent advancements in telecommunication technologies make it possible to conduct a variety of healthcare services remotely (e.g., behavioral-analytic intervention services), thereby bridging the gap between qualified providers and consumers in isolated locations. In this study, web-based telehealth technologies were used to remotely train…

Some Ideas on the Microcomputer and the Information/Knowledge Workstation.

ERIC Educational Resources Information Center

Boon, J. A.; Pienaar, H.

1989-01-01

Identifies the optimal goal of knowledge workstations as the harmony of technology and human decision-making behaviors. Two types of decision-making processes are described and the application of each type to experimental and/or operational situations is discussed. Suggestions for technical solutions to machine-user interfaces are then offered.…

Can a tablet device alter undergraduate science students' study behavior and use of technology?

PubMed

Morris, Neil P; Ramsay, Luke; Chauhan, Vikesh

2012-06-01

This article reports findings from a study investigating undergraduate biological sciences students' use of technology and computer devices for learning and the effect of providing students with a tablet device. A controlled study was conducted to collect quantitative and qualitative data on the impact of a tablet device on students' use of devices and technology for learning. Overall, we found that students made extensive use of the tablet device for learning, using it in preference to laptop computers to retrieve information, record lectures, and access learning resources. In line with other studies, we found that undergraduate students only use familiar Web 2.0 technologies and that the tablet device did not alter this behavior for the majority of tools. We conclude that undergraduate science students can make extensive use of a tablet device to enhance their learning opportunities without institutions changing their teaching methods or computer systems, but that institutional intervention may be needed to drive changes in student behavior toward the use of novel Web 2.0 technologies.

Ecologic Momentary Assessment: Perspectives on Applications and Opportunities in Research and Practice Regarding Nutrition Behaviors.

PubMed

Hand, Rosa K; Perzynski, Adam T

2016-09-01

Retrospective self-reported data have limitations, making it important to evaluate alternative forms of measurement for nutrition behaviors. Ecological momentary assessment (EMA) attempts to overcome the challenges of recalled data with real-time data collection in a subject's natural environment, often leveraging technology. This perspective piece 1) introduces the concepts and terminology of EMA, 2) provides an overview of the methodological and analytical considerations, 3) gives examples of past research using EMA, and 4) suggests new opportunities (including combining assessment and intervention) and limitations (including the need for technology) for the application of EMA to research and practice regarding nutrition behaviors. Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Behavioral medicine perspectives on the design of health information technology to improve decision-making, guideline adherence, and care coordination in chronic pain management.

PubMed

Midboe, Amanda M; Lewis, Eleanor T; Cronkite, Ruth C; Chambers, Dallas; Goldstein, Mary K; Kerns, Robert D; Trafton, Jodie A

2011-03-01

Development of clinical decision support systems (CDSs) has tended to focus on facilitating medication management. An understanding of behavioral medicine perspectives on the usefulness of a CDS for patient care can expand CDSs to improve management of chronic disease. The purpose of this study is to explore feedback from behavioral medicine providers regarding the potential for CDSs to improve decision-making, care coordination, and guideline adherence in pain management. Qualitative methods were used to analyze semi-structured interview responses from behavioral medicine stakeholders following demonstration of an existing CDS for opioid prescribing, ATHENA-OT. Participants suggested that a CDS could assist with decision-making by educating providers, providing recommendations about behavioral therapy, facilitating risk assessment, and improving referral decisions. They suggested that a CDS could improve care coordination by facilitating division of workload, improving patient education, and increasing consideration and knowledge of options in other disciplines. Clinical decision support systems are promising tools for improving behavioral medicine care for chronic pain.

Final Report: Towards an Emergent Model of Technology Adoption for Accelerating the Diffusion of Residential Solar PV

DOE Office of Scientific and Technical Information (OSTI.GOV)

Rai, Varun

This project sought to enable electric utilities in Texas to accelerate diffusion of residential solar photovoltaic (PV) by systematically identifying and targeting existing barriers to PV adoption. A core goal of the project was to develop an integrated research framework that combines survey research, econometric modeling, financial modeling, and implementation and evaluation of pilot projects to study the PV diffusion system. This project considered PV diffusion as an emergent system, with attention to the interactions between the constituent parts of the PV socio-technical system including: economics of individual decision-making; peer and social influences; behavioral responses; and information and transaction costs.more » We also conducted two pilot projects, which have yielded new insights into behavioral and informational aspects of PV adoption. Finally, this project has produced robust and generalizable results that will provide deeper insights into the technology-diffusion process that will be applicable for the design of utility programs for other technologies such as home-energy management systems and plug-in electric vehicles. When we started this project in 2013 there was little systematic research on characterizing the decision-making process of households interested in adopting PV. This project was designed to fill that research gap by analyzing the PV adoption process from the consumers' decision-making perspective and with the objective to systematically identifying and addressing the barriers that consumers face in the adoption of PV. The two key components of that decision-making process are consumers' evaluation of: (i) uncertainties and non-monetary costs associated with the technology and (ii) the direct monetary cost-benefit. This project used an integrated approach to study both the non-monetary and the monetary components of the consumer decision-making process.« less

Truck Choice Modeling: Understanding California's Transition to Zero-Emission Vehicle Trucks Taking into Account Truck Technologies, Costs, and Fleet Decision Behavior

DOT National Transportation Integrated Search

2017-11-01

This report presents the results of a project to develop a truck vehicle/fuel decision choice model for California and to use that model to make initial projections of truck sales by technology out to 2050. The report also describes the linkage of th...

Make the healthy choice the easy choice: using behavioral economics to advance a culture of health.

PubMed

Volpp, K G; Asch, D A

2017-05-01

Despite great advances in the science and technology of health care, a large gap separates theoretically achievable advances in health from what individuals and populations actually achieve. Human behavior sits on the final common pathway to so many of our health and health care goals, including the prevention and management of illness and the fostering of wellness. Behavioral economics is a relatively new field offering approaches to supplement many of the conventional approaches to improving health behaviors that rely on education or standard economic theory. While those conventional approaches presume that an educated public will naturally make decisions that optimize personal welfare, approaches derived from behavioral economics harness existing and predictable patterns of behavior that often lead people to make choices against their best interests. By keeping these predictable patterns of behavior in mind when designing health insurance, health care programs or the health-related aspects of everyday life, behavioral economists aim to meet people half-way: no longer asking them to reshape their behavior to something more health promoting, but helping the behavioral patterns they already follow lead them to better health. © The Author 2016. Published by Oxford University Press on behalf of the Association of Physicians. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

OB CITY–Definition of a Family-Based Intervention for Childhood Obesity Supported by Information and Communication Technologies

PubMed Central

Hu, Ruofei; Cancela, Jorge; Cea, Gloria; Vlachopapadopoulou, Elpis-Athina; Fotiadis, Dimitrios I.; Fico, Giuseppe

2016-01-01

Childhood obesity is becoming one of the 21st century’s most important public health problems. Nowadays, the main treatment of childhood obesity is behavior intervention that aims at improve children’s lifestyle to arrest the disease. Information and communication technologies (ICTs) have not been widely employed in this intervention, and most of existing ICTs systems are not having a long-term effect. The purpose of this paper is to define a system to support family-based intervention through a state-of-the-art analysis of family-based interventions and related technological solutions first, and then using the analytic hierarchy process to derive a childhood obesity family-based behavior intervention model, and finally to provide a prototype of a system called OB CITY. The system makes use of applied behavior analysis, affective computing technologies, as well as serious game and gamification techniques, to offer long term services in all care dimensions of the family-based behavioral intervention aiming to provide positive effects to the treatment of childhood obesity. PMID:27602306

Consumer Views on Transportation and Advanced Vehicle Technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Singer, Mark

Vehicle manufacturers, U.S. Department of Energy laboratories, universities, private researchers, and organizations from countries around the globe are pursuing advanced vehicle technologies that aim to reduce gasoline and diesel consumption. This report details study findings of broad American public sentiments toward issues surrounding advanced vehicle technologies and is supported by the U.S. Department of Energy Vehicle Technology Office (VTO) in alignment with its mission to develop and deploy these technologies to improve energy security, increase mobility flexibility, reduce transportation costs, and increase environmental sustainability. Understanding and tracking consumer sentiments can influence the prioritization of development efforts by identifying barriers tomore » and opportunities for broad acceptance of new technologies. Predicting consumer behavior toward developing technologies and products is inherently inexact. A person's stated preference given in an interview about a hypothetical setting may not match the preference that is demonstrated in an actual situation. This difference makes tracking actual consumer actions ultimately more valuable in understanding potential behavior. However, when developing technologies are not yet available and actual behaviors cannot be tracked, stated preferences provide some insight into how consumers may react in new circumstances. In this context this report provides an additional source to validate data and a new resource when no data are available. This report covers study data captured from December 2005 through June 2015 relevant to VTO research efforts at the time of the studies. Broadly the report covers respondent sentiments about vehicle fuel economy, future vehicle technology alternatives, ethanol as a vehicle fuel, plug-in electric vehicles, and willingness to pay for vehicle efficiency. This report represents a renewed effort to publicize study findings and make consumer sentiment data available to researchers, policy makers, and the public. Planned reports will follow detailing data from new studies targeting the primary challenges to and opportunities for advanced vehicle technology deployment. The effort continually refines study content to maintain and improve the relevance and validity of results.« less

Verification of Emergent Behaviors in Swarm-based Systems

NASA Technical Reports Server (NTRS)

Rouff, Christopher; Vanderbilt, Amy; Hinchey, Mike; Truszkowski, Walt; Rash, James

2004-01-01

The emergent properties of swarms make swarm-based missions powerful, but at the same time more difficult to design and to assure that the proper behaviors will emerge. We are currently investigating formal methods and techniques for verification and validation of swarm-based missions. The Autonomous Nano-Technology Swarm (ANTS) mission is being used as an example and case study for swarm-based missions to experiment and test current formal methods with intelligent swarms. Using the ANTS mission, we have evaluated multiple formal methods to determine their effectiveness in modeling and assuring swarm behavior. This paper introduces how intelligent swarm technology is being proposed for NASA missions, and gives the results of a comparison of several formal methods and approaches for specifying intelligent swarm-based systems and their effectiveness for predicting emergent behavior.

Neurotechnology: expanding opportunities for funding at the National Institute of Mental Health.

PubMed

Huerta, M F; Curvey, M F; Koslow, S H

1994-10-01

The National Institute of Mental Health recognizes the importance that creative development of technology and methodology play in brain and behavioral science research. This institute is making major efforts to support such development through specific initiatives, like the Human Brain Project. In addition, this Institute is actively building bridges between business and academic research communities to make optical use of funds for the research and development of commercially viable technologies relevant to all aspects of the Institute's mission through the Small Business Innovation Research and Small Business Technology Transfer Programs. Together, these efforts will culminate in a more vigorous scientific enterprise, and ultimately benefit the entire mental health community and society.

A commentary on the status of the behavioral approach in the healthcare marketplace.

PubMed

Moss, G R

1993-12-01

Clinically applied behavioral technology (e.g., integrated, systems-based hospital programs) and specific behavior therapies (e.g., systematic desensitization) have a long record of documented and powerful efficacy yet have failed to penetrate successfully the healthcare marketplace and to receive adequate public recognition. Many behavioral techniques are utilized widely without acknowledgement of their true origins. The current position of the behavioral approach in the healthcare marketplace is examined, and factors making for resistance to its acceptance are identified. Recommendations are offered for the more effective promotion of behavioral methods and services.

The Moral Milieu of Information Technology: Using Domain and Affordance Theory to Explain Situational and Technological Effects on Ethical IT Decision Making

ERIC Educational Resources Information Center

Schilhavy, Richard Arthur Milton

2012-01-01

Unethical behavior in the use of IT may result in significant negative impacts on the productivity, profitability, and reputation of the organization. IT exacerbates moral problems through its constant evolution, multi-faceted nature and encroachment into our personal and professional lives. People have difficulty recognizing moral…

Between-race differences in the effects of breast density information and information about new imaging technology on breast-health decision-making.

PubMed

Manning, Mark; Purrington, Kristen; Penner, Louis; Duric, Neb; Albrecht, Terrance L

2016-06-01

Some US states have mandated that women be informed when they have dense breasts; however, little is known about how general knowledge about breast density (BD) affects related health decision-making. We examined the effects of BD information and imaging technology information on 138 African-American (AA) and European-American (EA) women's intentions to discuss breast cancer screening with their physicians. Women were randomly assigned to receive BD information and/or imaging technology information via 2 by 2 factorial design, and completed planned behavior measures (e.g., attitudes, intentions) related to BC screening. Attitudes mediated the effects of BD information, and the mediation was stronger for AA women compared to EA women. Effects were more robust for BD information compared to imaging technology information. Results of moderator analyses revealed suppressor effects of injunctive norms that were moderated by imaging technology information. Information about BD favorably influences women's intentions to engage in relevant breast health behaviors. Stronger attitude mediated-effects for AA women suggest greater scrutiny of BD information. Since BD information may influence women's intentions to discuss BC screening, strategies to effectively present BD information to AA women should be investigated given the likelihood of their increased scrutiny of BD information. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Predictors of Cell Phone Use in Distracted Driving: Extending the Theory of Planned Behavior.

PubMed

Tian, Yan; Robinson, James D

2017-09-01

This study examines the predictors of six distracted driving behaviors, and the survey data partially support Ajzen's (1991) Theory of Planned Behavior (TPB). The data suggest that the attitude variable predicted intention to engage in all six distracted driving behaviors (reading and sending text messages, making and answering cell phone calls, reading/viewing social media, and posting on social media while driving). Extending the model to include past experience and the variable perceived safety of technology yielded an improvement in the prediction of the distraction variables. Specifically, past experience predicted all six distracted driving behaviors, and the variable perceived safety of technology predicted intentions to read/view social media and intention to post on social media while driving. The study provides evidence for the importance of incorporating expanded variables into the original TPB model to predict cell phone use behaviors while driving, and it suggests that it is essential to tailor campaign materials for each specific cell phone use behavior to reduce distracted driving.

Applying behavior analysis to school violence and discipline problems: Schoolwide positive behavior support

PubMed Central

Anderson, Cynthia M.; Kincaid, Donald

2005-01-01

School discipline is a growing concern in the United States. Educators frequently are faced with discipline problems ranging from infrequent but extreme problems (e.g., shootings) to less severe problems that occur at high frequency (e.g., bullying, insubordination, tardiness, and fighting). Unfortunately, teachers report feeling ill prepared to deal effectively with discipline problems in schools. Further, research suggests that many commonly used strategies, such as suspension, expulsion, and other reactive strategies, are not effective for ameliorating discipline problems and may, in fact, make the situation worse. The principles and technology of behavior analysis have been demonstrated to be extremely effective for decreasing problem behavior and increasing social skills exhibited by school children. Recently, these principles and techniques have been applied at the level of the entire school, in a movement termed schoolwide positive behavior support. In this paper we review the tenets of schoolwide positive behavior support, demonstrating the relation between this technology and applied behavior analysis. PMID:22478439

Engineering Amorphous Systems, Using Global-to-Local Compilation

NASA Astrophysics Data System (ADS)

Nagpal, Radhika

Emerging technologies are making it possible to assemble systems that incorporate myriad of information-processing units at almost no cost: smart materials, selfassembling structures, vast sensor networks, pervasive computing. How does one engineer robust and prespecified global behavior from the local interactions of immense numbers of unreliable parts? We discuss organizing principles and programming methodologies that have emerged from Amorphous Computing research, that allow us to compile a specification of global behavior into a robust program for local behavior.

Does Online Technology Make Us More or Less Sociable? A Preliminary Review and Call for Research.

PubMed

Waytz, Adam; Gray, Kurt

2018-05-01

How does online technology affect sociability? Emerging evidence-much of it inconclusive-suggests a nuanced relationship between use of online technology (the Internet, social media, and virtual reality) and sociability (emotion recognition, empathy, perspective taking, and emotional intelligence). Although online technology can facilitate purely positive behavior (e.g., charitable giving) or purely negative behavior (e.g., cyberbullying), it appears to affect sociability in three ways, depending on whether it allows a deeper understanding of people's thoughts and feelings: (a) It benefits sociability when it complements already-deep offline engagement with others, (b) it impairs sociability when it supplants deeper offline engagement for superficial online engagement, and (c) it enhances sociability when deep offline engagement is otherwise difficult to attain. We suggest potential implications and moderators of technology's effects on sociability and call for additional causal research.

Making Heat Visible: Promoting Energy Conservation Behaviors Through Thermal Imaging.

PubMed

Goodhew, Julie; Pahl, Sabine; Auburn, Tim; Goodhew, Steve

2015-12-01

Householders play a role in energy conservation through the decisions they make about purchases and installations such as insulation, and through their habitual behavior. The present U.K. study investigated the effect of thermal imaging technology on energy conservation, by measuring the behavioral effect after householders viewed images of heat escaping from or cold air entering their homes. In Study 1 ( n = 43), householders who received a thermal image reduced their energy use at a 1-year follow-up, whereas householders who received a carbon footprint audit and a non-intervention control demonstrated no change. In Study 2 ( n = 87), householders were nearly 5 times more likely to install draught proofing measures after seeing a thermal image. The effect was especially pronounced for actions that addressed an issue visible in the images. Findings indicate that using thermal imaging to make heat loss visible can promote energy conservation.

Travtek Evaluation Task C3: Camera Car Study

DOT National Transportation Integrated Search

1998-11-01

A "biometric" technology is an automatic method for the identification, or identity verification, of an individual based on physiological or behavioral characteristics. The primary objective of the study summarized in this tech brief was to make reco...

Practices, perceptions, and implications of fertilizer use in East-Central China.

PubMed

Yang, Xiaoying; Fang, Shubo

2015-11-01

Face-to-face interviews (n = 553) were conducted in five counties in East-Central China to study farmers' fertilizer application behaviors, decision-making processes, attitudes towards adopting better fertilizer application technologies, and environmental consciousness. The survey results revealed widespread fertilizer misapplication and highly variable application behaviors in the study regions. The lack of scientific knowledge on fertilizers and the absence of guidance from agricultural extension services have forced the farmers to rely on personal judgment and advice from fertilizer dealers and friends to make decisions in fertilizer application. Overall, farmers have been idiosyncratic in fertilizer application with limited adoption of better fertilizer application technologies. There are great potentials for reducing pollutant load from agricultural runoff through promoting scientific fertilizer application in the regions. However, farmers' diverse preferences over agricultural extension programs necessitate an integrated approach emphasizing farmer involvement throughout the development of such programs for promoting better fertilizer application practices.

Neuroscience, moral reasoning, and the law.

PubMed

Knabb, Joshua J; Welsh, Robert K; Ziebell, Joseph G; Reimer, Kevin S

2009-01-01

Modern advancements in functional magnetic resonance imaging (fMRI) technology have given neuroscientists the opportunity to more fully appreciate the brain's contribution to human behavior and decision making. Morality and moral reasoning are relative newcomers to the growing literature on decision neuroscience. With recent attention given to the salience of moral factors (e.g. moral emotions, moral reasoning) in the process of decision making, neuroscientists have begun to offer helpful frameworks for understanding the interplay between the brain, morality, and human decision making. These frameworks are relatively unfamiliar to the community of forensic psychologists, despite the fact that they offer an improved understanding of judicial decision making from a biological perspective. This article presents a framework reviewing how event-feature-emotion complexes (EFEC) are relevant to jurors and understanding complex criminal behavior. Future directions regarding converging fields of neuroscience and legal decision making are considered. Copyright 2009 John Wiley & Sons, Ltd.

Insular neural system controls decision-making in healthy and methamphetamine-treated rats

PubMed Central

Mizoguchi, Hiroyuki; Katahira, Kentaro; Inutsuka, Ayumu; Fukumoto, Kazuya; Nakamura, Akihiro; Wang, Tian; Nagai, Taku; Sato, Jun; Sawada, Makoto; Ohira, Hideki; Yamanaka, Akihiro; Yamada, Kiyofumi

2015-01-01

Patients suffering from neuropsychiatric disorders such as substance-related and addictive disorders exhibit altered decision-making patterns, which may be associated with their behavioral abnormalities. However, the neuronal mechanisms underlying such impairments are largely unknown. Using a gambling test, we demonstrated that methamphetamine (METH)-treated rats chose a high-risk/high-reward option more frequently and assigned higher value to high returns than control rats, suggestive of changes in decision-making choice strategy. Immunohistochemical analysis following the gambling test revealed aberrant activation of the insular cortex (INS) and nucleus accumbens in METH-treated animals. Pharmacological studies, together with in vivo microdialysis, showed that the insular neural system played a crucial role in decision-making. Moreover, manipulation of INS activation using designer receptor exclusively activated by designer drug technology resulted in alterations to decision-making. Our findings suggest that the INS is a critical region involved in decision-making and that insular neural dysfunction results in risk-taking behaviors associated with altered decision-making. PMID:26150496

Insular neural system controls decision-making in healthy and methamphetamine-treated rats.

PubMed

Mizoguchi, Hiroyuki; Katahira, Kentaro; Inutsuka, Ayumu; Fukumoto, Kazuya; Nakamura, Akihiro; Wang, Tian; Nagai, Taku; Sato, Jun; Sawada, Makoto; Ohira, Hideki; Yamanaka, Akihiro; Yamada, Kiyofumi

2015-07-21

Patients suffering from neuropsychiatric disorders such as substance-related and addictive disorders exhibit altered decision-making patterns, which may be associated with their behavioral abnormalities. However, the neuronal mechanisms underlying such impairments are largely unknown. Using a gambling test, we demonstrated that methamphetamine (METH)-treated rats chose a high-risk/high-reward option more frequently and assigned higher value to high returns than control rats, suggestive of changes in decision-making choice strategy. Immunohistochemical analysis following the gambling test revealed aberrant activation of the insular cortex (INS) and nucleus accumbens in METH-treated animals. Pharmacological studies, together with in vivo microdialysis, showed that the insular neural system played a crucial role in decision-making. Moreover, manipulation of INS activation using designer receptor exclusively activated by designer drug technology resulted in alterations to decision-making. Our findings suggest that the INS is a critical region involved in decision-making and that insular neural dysfunction results in risk-taking behaviors associated with altered decision-making.

Nudging best practice: the HITECH act and behavioral medicine.

PubMed

Hesse, B W; Ahern, D K; Woods, S S

2011-03-01

In February 2009, the US Congress passed the Health Information Technology for Economic and Consumer Health (HITECH) Act in order to stimulate the "meaningful use" of health information technology within medical practice. Economists have noted that other sectors in the economy have demonstrated substantive productivity improvements from investments in information technology but that the health sector lags behind. The "meaningful use" stipulation of the HITECH Act focuses systems redesign within the health sector on user's behavior, a provision that opens a window of contribution from specialists in behavioral medicine. There are several ways for behavioral medicine to become involved in the redesign. One is to help craft a health services environment that optimizes communication between providers and patients, between primary care and specialist care providers, and between patients and their caregivers. Another is to help practitioners and policy-makers create new "decisional architectures" for "nudging" behavior in positive ways through better incentives, understandable instructions, healthy defaults, instructive feedback, back-ups for error, and structured decision-making. New funding opportunities in research, implementation, and training may facilitate the involvement of behavioral medicine-an involvement that is crucial for ensuring the success of reform efforts in the long run.

Pattern of Cleanliness with Technology Intervention for Innovation Life

NASA Astrophysics Data System (ADS)

Hutari Mulyani, Sitti; Hendrik, Billy; Andhika Putra, Rio; Masril, Mardhiah

2017-12-01

Environmental solutions around the world today are making people dependent on technological developments. However, the technology cannot be separated from the community either in the form or its influence, therefore the pattern of behavior of society must also get arrangements for technology to occur as an acceleration of life done properly. This study aims to obtain patterns of community behavior on non-organic waste by using technology intervention. Gap exploration is essential for theoretical and experimental analysis of humans who dispose of unorganic and organic waste out of place. But the field of behavior analysis is uniquely tailored to contribute to this body of work. Sustainable development depends on changing technology to achieve its goals. We report on data collected form an on-line survey, which possible solutions for trash problems. In this paper we present an integrated waste management system with IT that we called I-BSC (Indonesia Bersih (Clean), Sehat (Healty) and Cerdas (Smart)). This I-BSC is not only for deposit bottles and systems but the system aims also to create awareness of waste production and management, which serves as an educational platform in urban environments for further life innovation.

Social and behavioral science priorities for genomic translation.

PubMed

Koehly, Laura M; Persky, Susan; Spotts, Erica; Acca, Gillian

2018-01-29

This commentary highlights the essential role of the social and behavioral sciences for genomic translation, and discusses some priority research areas in this regard. The first area encompasses genetics of behavioral, social, and neurocognitive factors, and how integration of these relationships might impact the development of treatments and interventions. The second area includes the contributions that social and behavioral sciences make toward the informed translation of genomic developments. Further, there is a need for behavioral and social sciences to inform biomedical research for effective implementation. The third area speaks to the need for increased outreach and education efforts to improve the public's genomic literacy such that individuals and communities can make informed health-related and societal (e.g., in legal or consumer settings) decisions. Finally, there is a need to prioritize representation of diverse communities in genomics research and equity of access to genomic technologies. Examples from National Institutes of Health-based intramural and extramural research programs and initiatives are used to discuss these points. © Society of Behavioral Medicine 2018.

Inclusions and Their Influence on Material Behavior: Proceedings of a Symposium Held in Conjunction with the 1988 World Materials Congress, Chicago, Illinois, USA, 24-30 September 1988

DTIC Science & Technology

1988-01-01

Columbus Division V TABLE OF CONTENTS Inclusions: Advantages, Disadvantages, and the Technological Trends ................. 1 R. Rungta, A. J...these phases [1]. A similar summary of sulphide Advances in noninvasive technologies for de- inclusions important to steel making is shown in tecting and...MEASUREMENT OF SPATIAL DISTRIBUTION OF INCLUSIONS M. T. Shehata, J. D. Boyd Metals Technology Laboratories CANMET - Energy, Mines & Resources Canada Ottawa

Acquisition and production of skilled behavior in dynamic decision-making tasks

NASA Technical Reports Server (NTRS)

Kirlik, Alex

1992-01-01

Detailed summaries of two NASA-funded research projects are provided. The first project was an ecological task analysis of the Star Cruiser model. Star Cruiser is a psychological model designed to test a subject's level of cognitive activity. Ecological task analysis is used as a framework to predict the types of cognitive activity required to achieve productive behavior and to suggest how interfaces can be manipulated to alleviate certain types of cognitive demands. The second project is presented in the form of a thesis for the Masters Degree. The thesis discusses the modeling of decision-making through the use of neural network and genetic-algorithm machine learning technologies.

Just-in-Time Technology to Encourage Incremental, Dietary Behavior Change

PubMed Central

Intille, Stephen S.; Kukla, Charles; Farzanfar, Ramesh; Bakr, Waseem

2003-01-01

Our multi-disciplinary team is developing mobile computing software that uses “just-in-time” presentation of information to motivate behavior change. Using a participatory design process, preliminary interviews have helped us to establish 10 design goals. We have employed some to create a prototype of a tool that encourages better dietary decision making through incremental, just-in-time motivation at the point of purchase. PMID:14728379

Experiences applying Formal Approaches in the Development of Swarm-Based Space Exploration Systems

NASA Technical Reports Server (NTRS)

Rouff, Christopher A.; Hinchey, Michael G.; Truszkowski, Walter F.; Rash, James L.

2006-01-01

NASA is researching advanced technologies for future exploration missions using intelligent swarms of robotic vehicles. One of these missions is the Autonomous Nan0 Technology Swarm (ANTS) mission that will explore the asteroid belt using 1,000 cooperative autonomous spacecraft. The emergent properties of intelligent swarms make it a potentially powerful concept, but at the same time more difficult to design and ensure that the proper behaviors will emerge. NASA is investigating formal methods and techniques for verification of such missions. The advantage of using formal methods is the ability to mathematically verify the behavior of a swarm, emergent or otherwise. Using the ANTS mission as a case study, we have evaluated multiple formal methods to determine their effectiveness in modeling and ensuring desired swarm behavior. This paper discusses the results of this evaluation and proposes an integrated formal method for ensuring correct behavior of future NASA intelligent swarms.

Between-race differences in the effects of breast density information and information about new imaging technology on breast-health decision-making

PubMed Central

Manning, Mark; Purrington, Kristen; Penner, Louis; Duric, Neb; Albrecht, Terrance L.

2016-01-01

Objectives Some US states have mandated that women be informed when they have dense breasts; however, little is known about how general knowledge about breast density (BD) affects related health decision-making. We examined the effects of BD information and imaging technology information on 138 African–American (AA) and European–American (EA) women’s intentions to discuss breast cancer screening with their physicians. Methods Women were randomly assigned to receive BD information and/or imaging technology information via 2 by 2 factorial design, and completed planned behavior measures (e.g., attitudes, intentions) related to BC screening. Results Attitudes mediated the effects of BD information, and the mediation was stronger for AA women compared to EA women. Effects were more robust for BD information compared to imaging technology information. Results of moderator analyses revealed suppressor effects of injunctive norms that were moderated by imaging technology information. Conclusion Information about BD favorably influences women’s intentions to engage in relevant breast health behaviors. Stronger attitude mediated-effects for AA women suggest greater scrutiny of BD information. Practice implications Since BD information may influence women’s intentions to discuss BC screening, strategies to effectively present BD information to AA women should be investigated given the likelihood of their increased scrutiny of BD information. PMID:26847421

Effective strategies for behavior change.

PubMed

Coleman, Mary Thoesen; Pasternak, Ryan H

2012-06-01

Strategies that are most effective in both prevention and management of chronic disease consider factors such as age, ethnicity, community, and technology. Most behavioral change strategies derive their components from application of the health belief model, the theory of reasoned action/theory of planned behavior, transtheoretical model, and social cognitive theory. Many tools such as the readiness ruler and personalized action plan form are available to assist health care teams to facilitate healthy behavior change. Primary care providers can support behavior changes by providing venues for peer interventions and family meetings and by making new partnerships with community organizations. Copyright © 2012 Elsevier Inc. All rights reserved.

Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science.

PubMed

Rein, Robert; Memmert, Daniel

2016-01-01

Until recently tactical analysis in elite soccer were based on observational data using variables which discard most contextual information. Analyses of team tactics require however detailed data from various sources including technical skill, individual physiological performance, and team formations among others to represent the complex processes underlying team tactical behavior. Accordingly, little is known about how these different factors influence team tactical behavior in elite soccer. In parts, this has also been due to the lack of available data. Increasingly however, detailed game logs obtained through next-generation tracking technologies in addition to physiological training data collected through novel miniature sensor technologies have become available for research. This leads however to the opposite problem where the shear amount of data becomes an obstacle in itself as methodological guidelines as well as theoretical modelling of tactical decision making in team sports is lacking. The present paper discusses how big data and modern machine learning technologies may help to address these issues and aid in developing a theoretical model for tactical decision making in team sports. As experience from medical applications show, significant organizational obstacles regarding data governance and access to technologies must be overcome first. The present work discusses these issues with respect to tactical analyses in elite soccer and propose a technological stack which aims to introduce big data technologies into elite soccer research. The proposed approach could also serve as a guideline for other sports science domains as increasing data size is becoming a wide-spread phenomenon.

Acquisition and production of skilled behavior in dynamic decision-making tasks

NASA Technical Reports Server (NTRS)

Kirlik, Alex

1992-01-01

Currently, two main approaches exist for improving the human-machine interface component of a system in order to improve overall system performance - display enhancement and intelligent decision making. Discussed here are the characteristic issues of these two decision-making strategies. Differences in expert and novice decision making are described in order to help determine whether a particular strategy may be better for a particular type of user. Research is outlined to compare and contrast the two technologies, as well as to examine the interaction effects introduced by the different skill levels and the different methods for training operators.

Simulating care: technology-mediated learning in twenty-first century nursing education.

PubMed

Diener, Elizabeth; Hobbs, Nelda

2012-01-01

The increased reliance on simulation classrooms has proven successful in learning skills. Questions persist concerning the ability of technology-driven robotic devices to form and cultivate caring behaviors, or sufficiently develop interactive nurse-client communication necessary in the context of nursing. This article examines the disconnects created by use of simulation technology in nursing education, raising the question: "Can learning of caring-as-being, be facilitated in simulation classrooms?" We propose that unless time is spent with human beings in the earliest stages of nursing education, transpersonal caring relationships do not have space to develop. Learning, crafting, and maturation of caring behaviors threatens to become a serendipitous event or is no longer perceived as an essential characteristic of nursing. Technology does not negate caring-the isolation it fosters makes transpersonal caring all the more important. We are called to create a new paradigm for nursing education that merges Nightingale's vision with technology's promise. © 2012 Wiley Periodicals, Inc.

Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation

PubMed Central

Carlson, Jean M.; Alderson, David L.; Stromberg, Sean P.; Bassett, Danielle S.; Craparo, Emily M.; Guiterrez-Villarreal, Francisco; Otani, Thomas

2014-01-01

Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In a controlled laboratory setting, our results quantify several key factors influencing individual evacuation decision making in a controlled laboratory setting. The experiment includes tensions between broadcast and peer-to-peer information, and contrasts the effects of temporal urgency associated with the imminence of the disaster and the effects of limited shelter capacity for evacuees. Based on empirical measurements of the cumulative rate of evacuations as a function of the instantaneous disaster likelihood, we develop a quantitative model for decision making that captures remarkably well the main features of observed collective behavior across many different scenarios. Moreover, this model captures the sensitivity of individual- and population-level decision behaviors to external pressures, and systematic deviations from the model provide meaningful estimates of variability in the collective response. Identification of robust methods for quantifying human decisions in the face of risk has implications for policy in disasters and other threat scenarios, specifically the development and testing of robust strategies for training and control of evacuations that account for human behavior and network topologies. PMID:24520331

Making Childhood Asthma Management Education Happen in the Community: Translating Health Behavioral Research into Local Program.

ERIC Educational Resources Information Center

Krutzch, Christine B.; And Others

1987-01-01

A technology transfer project for getting initial community adoption of childhood asthma management programs is described. The evolution of the project, including development of programs, packaging considerations, establishment of partnerships, implementation, and evaluation are discussed. (Author/CH)

When technologies makes good people do bad things: another argument against the value-neutrality of technologies.

PubMed

Morrow, David R

2014-06-01

Although many scientists and engineers insist that technologies are value-neutral, philosophers of technology have long argued that they are wrong. In this paper, I introduce a new argument against the claim that technologies are value-neutral. This argument complements and extends, rather than replaces, existing arguments against value-neutrality. I formulate the Value-Neutrality Thesis, roughly, as the claim that a technological innovation can have bad effects, on balance, only if its users have "vicious" or condemnable preferences. After sketching a microeconomic model for explaining or predicting a technology's impact on individuals' behavior, I argue that a particular technological innovation can create or exacerbate collective action problems, even in the absence of vicious preferences. Technologies do this by increasing the net utility of refusing to cooperate. I also argue that a particular technological innovation can induce short-sighted behavior because of humans' tendency to discount future benefits too steeply. I suggest some possible extensions of my microeconomic model of technological impacts. These extensions would enable philosophers of technology to consider agents with mixed motives-i.e., agents who harbor some vicious preferences but also some aversion to acting on them-and to apply the model to questions about the professional responsibilities of engineers, scientists, and other inventors.

Impossible Neanderthals? Making string, throwing projectiles and catching small game during Marine Isotope Stage 4 (Abri du Maras, France)

NASA Astrophysics Data System (ADS)

Hardy, Bruce L.; Moncel, Marie-Hélène; Daujeard, Camille; Fernandes, Paul; Béarez, Philippe; Desclaux, Emmanuel; Chacon Navarro, Maria Gema; Puaud, Simon; Gallotti, Rosalia

2013-12-01

Neanderthal behavior is often described in one of two contradictory ways: 1) Neanderthals were behaviorally inflexible and specialized in large game hunting or 2) Neanderthals exhibited a wide range of behaviors and exploited a wide range of resources including plants and small, fast game. Using stone tool residue analysis with supporting information from zooarchaeology, we provide evidence that at the Abri du Maras, Ardèche, France, Neanderthals were behaviorally flexible at the beginning of MIS 4. Here, Neanderthals exploited a wide range of resources including large mammals, fish, ducks, raptors, rabbits, mushrooms, plants, and wood. Twisted fibers on stone tools provide evidence of making string or cordage. Using a variety of lines of evidence, we show the presence of stone projectile tips, possibly used in complex projectile technology. This evidence shows a level of behavioral variability that is often denied to Neanderthals. Furthermore, it sheds light on perishable materials and resources that are not often recovered which should be considered more fully in reconstructions of Neanderthal behavior.

Make Better Choices (MBC): Study design of a randomized controlled trial testing optimal technology-supported change in multiple diet and physical activity risk behaviors

PubMed Central

2010-01-01

Background Suboptimal diet and physical inactivity are prevalent, co-occurring chronic disease risk factors, yet little is known about how to maximize multiple risk behavior change. Make Better Choices, a randomized controlled trial, tests competing hypotheses about the optimal way to promote healthy change in four bundled risk behaviors: high saturated fat intake, low fruit and vegetable intake, low physical activity, and high sedentary leisure screen time. The study aim is to determine which combination of two behavior change goals - one dietary, one activity - yields greatest overall healthy lifestyle change. Methods/Design Adults (n = 200) with poor quality diet and sedentary lifestyle will be recruited and screened for study eligibility. Participants will be trained to record their diet and activities onto a personal data assistant, and use it to complete two weeks of baseline. Those who continue to show all four risk behaviors after baseline recording will be randomized to one of four behavior change prescriptions: 1) increase fruits and vegetables and increase physical activity, 2) decrease saturated fat and increase physical activity, 3) increase fruits and vegetable and decrease saturated fat, or 4) decrease saturated fat and decrease sedentary activity. They will use decision support feedback on the personal digital assistant and receive counseling from a coach to alter their diet and activity during a 3-week prescription period when payment is contingent upon meeting behavior change goals. They will continue recording on an intermittent schedule during a 4.5-month maintenance period when payment is not contingent upon goal attainment. The primary outcome is overall healthy lifestyle change, aggregated across all four risk behaviors. Discussion The Make Better Choices trial tests a disseminable lifestyle intervention supported by handheld technology. Findings will fill a gap in knowledge about optimal goal prescription to facilitate simultaneous diet and activity change. Results will shed light on which goal prescription maximizes healthful lifestyle change. Trial Registration Clinical Trials Gov. Identifier NCT00113672 PMID:20920275

Contributions of Psychology to Limiting Climate Change

ERIC Educational Resources Information Center

Stern, Paul C.

2011-01-01

Psychology can make a significant contribution to limiting the magnitude of climate change by improving understanding of human behaviors that drive climate change and human reactions to climate-related technologies and policies, and by turning that understanding into effective interventions. This article develops a framework for psychological…

The role of behavioral decision theory for cockpit information management

NASA Technical Reports Server (NTRS)

Jonsson, Jon E.

1991-01-01

The focus of this report is the consideration of one form of cognition, judgment and decision making, while examining some information management issues associated with the implementation of new forms of automation. As technology matures and more tasks become suitable to automation, human factors researchers will have to consider the effect that increasing automation will have on operator performance. Current technology allows flight deck designers the opportunity to automate activities involving substantially more cognitive processing.

Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review.

PubMed

Bardus, Marco; Smith, Jane R; Samaha, Laya; Abraham, Charles

2015-11-16

Widespread diffusion of mobile phone and Web 2.0 technologies make them potentially useful tools for promoting health and tackling public health issues, such as the increasing prevalence of overweight and obesity. Research in this domain is growing rapidly but, to date, no review has comprehensively and systematically documented how mobile and Web 2.0 technologies are being deployed and evaluated in relation to weight management. To provide an up-to-date, comprehensive map of the literature discussing the use of mobile phone and Web 2.0 apps for influencing behaviors related to weight management (ie, diet, physical activity [PA], weight control, etc). A systematic scoping review of the literature was conducted based on a published protocol (registered at CRD42014010323). Using a comprehensive search strategy, we searched 16 multidisciplinary electronic databases for original research documents published in English between 2004 and 2014. We used duplicate study selection and data extraction. Using an inductively developed charting tool, selected articles were thematically categorized. We identified 457 articles, mostly published between 2013 and 2014 in 157 different journals and 89 conference proceedings. Articles were categorized around two overarching themes, which described the use of technologies for either (1) promoting behavior change (309/457, 67.6%) or (2) measuring behavior (103/457, 22.5%). The remaining articles were overviews of apps and social media content (33/457, 7.2%) or covered a combination of these three themes (12/457, 2.6%). Within the two main overarching themes, we categorized articles as representing three phases of research development: (1) design and development, (2) feasibility studies, and (3) evaluations. Overall, articles mostly reported on evaluations of technologies for behavior change (211/457, 46.2%). There is an extensive body of research on mobile phone and Web 2.0 technologies for weight management. Research has reported on (1) the development, feasibility, and efficacy of persuasive mobile technologies used in interventions for behavior change (PA and diet) and (2) the design, feasibility, and accuracy of mobile phone apps for behavioral assessment. Further research has focused exclusively on analyses of the content and quality of available apps. Limited evidence exists on the use of social media for behavior change, but a segment of studies deal with content analyses of social media. Future research should analyze mobile phone and Web 2.0 technologies together by combining the evaluation of content and design aspects with usability, feasibility, and efficacy/effectiveness for behavior change, or accuracy/validity for behavior assessment, in order to understand which technological components and features are likely to result in effective interventions.

The role of technology and engineering models in transforming healthcare.

PubMed

Pavel, Misha; Jimison, Holly Brugge; Wactlar, Howard D; Hayes, Tamara L; Barkis, Will; Skapik, Julia; Kaye, Jeffrey

2013-01-01

The healthcare system is in crisis due to challenges including escalating costs, the inconsistent provision of care, an aging population, and high burden of chronic disease related to health behaviors. Mitigating this crisis will require a major transformation of healthcare to be proactive, preventive, patient-centered, and evidence-based with a focus on improving quality-of-life. Information technology, networking, and biomedical engineering are likely to be essential in making this transformation possible with the help of advances, such as sensor technology, mobile computing, machine learning, etc. This paper has three themes: 1) motivation for a transformation of healthcare; 2) description of how information technology and engineering can support this transformation with the help of computational models; and 3) a technical overview of several research areas that illustrate the need for mathematical modeling approaches, ranging from sparse sampling to behavioral phenotyping and early detection. A key tenet of this paper concerns complementing prior work on patient-specific modeling and simulation by modeling neuropsychological, behavioral, and social phenomena. The resulting models, in combination with frequent or continuous measurements, are likely to be key components of health interventions to enhance health and wellbeing and the provision of healthcare.

Organizational Behavior: Where Does It Fit in Today's Management Curriculum?

ERIC Educational Resources Information Center

Singh, Robert P.; Schick, Allen G.

2007-01-01

Maximizing shareholder value is the dominant goal that influences management decision making in business practice. This goal--with rapid improvements in technology, changes in capital markets, and global competition--has altered employment relations between workers and top executives. The authors' purpose in this article was to share thoughts and…

Protective Effects of Parent-College Student Communication during the First Semester of College

ERIC Educational Resources Information Center

Small, Meg L.; Morgan, Nicole; Abar, Caitlin; Maggs, Jennifer L.

2011-01-01

Objective: Recent studies suggest that parents maintain influence as their adolescents transition into college. Advances in communication technology make frequent communication between parents and college students easy and affordable. This study examines the protective effect of parent-college student communication on student drinking behaviors,…

Lead Paint Poisonings: How Can Innovative Technology Make a Difference?

EPA Science Inventory

Lead is a toxic metal that may cause a range of health effects, from behavioral problems and learning disabilities, to seizures and death. Children six years old and under are most at risk. Exposure to lead usually occurs due to the presence of deteriorating lead-based paint (LBP...

Technology for Teachers. 6th Edition.

ERIC Educational Resources Information Center

Volker, Roger; Simonson, Michael

This book helps teachers learn how to use and make educational media, covering traditional and new media such as computer laboratories, authentic assessment, theory bases, and hypermedia. Chapter topics progress from simple to complex. Each chapter includes clearly stated behavioral objectives that provide a study guide for students and can serve…

Behavioral barcoding in the cloud: embracing data-intensive digital phenotyping in neuropharmacology.

PubMed

Kokel, David; Rennekamp, Andrew J; Shah, Asmi H; Liebel, Urban; Peterson, Randall T

2012-08-01

For decades, studying the behavioral effects of individual drugs and genetic mutations has been at the heart of efforts to understand and treat nervous system disorders. High-throughput technologies adapted from other disciplines (e.g., high-throughput chemical screening, genomics) are changing the scale of data acquisition in behavioral neuroscience. Massive behavioral datasets are beginning to emerge, particularly from zebrafish labs, where behavioral assays can be performed rapidly and reproducibly in 96-well, high-throughput format. Mining these datasets and making comparisons across different assays are major challenges for the field. Here, we review behavioral barcoding, a process by which complex behavioral assays are reduced to a string of numeric features, facilitating analysis and comparison within and across datasets. Copyright © 2012 Elsevier Ltd. All rights reserved.

Intelligent Control in Automation Based on Wireless Traffic Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kurt Derr; Milos Manic

2007-09-01

Wireless technology is a central component of many factory automation infrastructures in both the commercial and government sectors, providing connectivity among various components in industrial realms (distributed sensors, machines, mobile process controllers). However wireless technologies provide more threats to computer security than wired environments. The advantageous features of Bluetooth technology resulted in Bluetooth units shipments climbing to five million per week at the end of 2005 [1, 2]. This is why the real-time interpretation and understanding of Bluetooth traffic behavior is critical in both maintaining the integrity of computer systems and increasing the efficient use of this technology in controlmore » type applications. Although neuro-fuzzy approaches have been applied to wireless 802.11 behavior analysis in the past, a significantly different Bluetooth protocol framework has not been extensively explored using this technology. This paper presents a new neurofuzzy traffic analysis algorithm of this still new territory of Bluetooth traffic. Further enhancements of this algorithm are presented along with the comparison against the traditional, numerical approach. Through test examples, interesting Bluetooth traffic behavior characteristics were captured, and the comparative elegance of this computationally inexpensive approach was demonstrated. This analysis can be used to provide directions for future development and use of this prevailing technology in various control type applications, as well as making the use of it more secure.« less

Intelligent Control in Automation Based on Wireless Traffic Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kurt Derr; Milos Manic

Wireless technology is a central component of many factory automation infrastructures in both the commercial and government sectors, providing connectivity among various components in industrial realms (distributed sensors, machines, mobile process controllers). However wireless technologies provide more threats to computer security than wired environments. The advantageous features of Bluetooth technology resulted in Bluetooth units shipments climbing to five million per week at the end of 2005 [1, 2]. This is why the real-time interpretation and understanding of Bluetooth traffic behavior is critical in both maintaining the integrity of computer systems and increasing the efficient use of this technology in controlmore » type applications. Although neuro-fuzzy approaches have been applied to wireless 802.11 behavior analysis in the past, a significantly different Bluetooth protocol framework has not been extensively explored using this technology. This paper presents a new neurofuzzy traffic analysis algorithm of this still new territory of Bluetooth traffic. Further enhancements of this algorithm are presented along with the comparison against the traditional, numerical approach. Through test examples, interesting Bluetooth traffic behavior characteristics were captured, and the comparative elegance of this computationally inexpensive approach was demonstrated. This analysis can be used to provide directions for future development and use of this prevailing technology in various control type applications, as well as making the use of it more secure.« less

Unmanned aircraft systems in wildlife research: Current and future applications of a transformative technology

USGS Publications Warehouse

Christie, Katherine S.; Gilbert, Sophie L.; Brown, Casey L.; Hatfield, Michael; Hanson, Leanne

2016-01-01

Unmanned aircraft systems (UAS) – also called unmanned aerial vehicles (UAVs) or drones – are an emerging tool that may provide a safer, more cost-effective, and quieter alternative to traditional research methods. We review examples where UAS have been used to document wildlife abundance, behavior, and habitat, and illustrate the strengths and weaknesses of this technology with two case studies. We summarize research on behavioral responses of wildlife to UAS, and discuss the need to understand how recreational and commercial applications of this technology could disturb certain species. Currently, the widespread implementation of UAS by scientists is limited by flight range, regulatory frameworks, and a lack of validation. UAS are most effective when used to examine smaller areas close to their launch sites, whereas manned aircraft are recommended for surveying greater distances. The growing demand for UAS in research and industry is driving rapid regulatory and technological progress, which in turn will make them more accessible and effective as analytical tools.

Implications of advanced vehicle technologies for older drivers.

PubMed

Molnar, Lisa J; Eby, David W

2017-09-01

Advances are being made in vehicle technologies that may help older adults compensate for some of the declines in abilities associated with aging. These advances hold promise for increasing vehicle safety, reducing injuries, and making the driving task more comfortable. However, important research gaps remain with regard to how various advanced technologies impact the safety of older drivers, as well as older drivers' perceptions about these technologies. This special issue contains seven original contributions that address these issues. Specific topics include the: congruence of design guidelines with the needs and abilities of older drivers, transfer of control between automated and manual driving, use of in-vehicle monitoring technology, motivations for technology use and assigned meanings, technology valuation, and effects on driving behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

Verification of NASA Emergent Systems

NASA Technical Reports Server (NTRS)

Rouff, Christopher; Vanderbilt, Amy K. C. S.; Truszkowski, Walt; Rash, James; Hinchey, Mike

2004-01-01

NASA is studying advanced technologies for a future robotic exploration mission to the asteroid belt. This mission, the prospective ANTS (Autonomous Nano Technology Swarm) mission, will comprise of 1,000 autonomous robotic agents designed to cooperate in asteroid exploration. The emergent properties of swarm type missions make them powerful, but at the same time are more difficult to design and assure that the proper behaviors will emerge. We are currently investigating formal methods and techniques for verification and validation of future swarm-based missions. The advantage of using formal methods is their ability to mathematically assure the behavior of a swarm, emergent or otherwise. The ANT mission is being used as an example and case study for swarm-based missions for which to experiment and test current formal methods with intelligent swam. Using the ANTS mission, we have evaluated multiple formal methods to determine their effectiveness in modeling and assuring swarm behavior.

Automated Decision-Making and Big Data: Concerns for People With Mental Illness.

PubMed

Monteith, Scott; Glenn, Tasha

2016-12-01

Automated decision-making by computer algorithms based on data from our behaviors is fundamental to the digital economy. Automated decisions impact everyone, occurring routinely in education, employment, health care, credit, and government services. Technologies that generate tracking data, including smartphones, credit cards, websites, social media, and sensors, offer unprecedented benefits. However, people are vulnerable to errors and biases in the underlying data and algorithms, especially those with mental illness. Algorithms based on big data from seemingly unrelated sources may create obstacles to community integration. Voluntary online self-disclosure and constant tracking blur traditional concepts of public versus private data, medical versus non-medical data, and human versus automated decision-making. In contrast to sharing sensitive information with a physician in a confidential relationship, there may be numerous readers of information revealed online; data may be sold repeatedly; used in proprietary algorithms; and are effectively permanent. Technological changes challenge traditional norms affecting privacy and decision-making, and continued discussions on new approaches to provide privacy protections are needed.

Making Heat Visible

PubMed Central

Goodhew, Julie; Pahl, Sabine; Auburn, Tim; Goodhew, Steve

2015-01-01

Householders play a role in energy conservation through the decisions they make about purchases and installations such as insulation, and through their habitual behavior. The present U.K. study investigated the effect of thermal imaging technology on energy conservation, by measuring the behavioral effect after householders viewed images of heat escaping from or cold air entering their homes. In Study 1 (n = 43), householders who received a thermal image reduced their energy use at a 1-year follow-up, whereas householders who received a carbon footprint audit and a non-intervention control demonstrated no change. In Study 2 (n = 87), householders were nearly 5 times more likely to install draught proofing measures after seeing a thermal image. The effect was especially pronounced for actions that addressed an issue visible in the images. Findings indicate that using thermal imaging to make heat loss visible can promote energy conservation. PMID:26635418

Potential of robots as next-generation technology for clinical assessment of neurological disorders and upper-limb therapy.

PubMed

Scott, Stephen H; Dukelow, Sean P

2011-01-01

Robotic technologies have profoundly affected the identification of fundamental properties of brain function. This success is attributable to robots being able to control the position of or forces applied to limbs, and their inherent ability to easily, objectively, and reliably quantify sensorimotor behavior. Our general hypothesis is that these same attributes make robotic technologies ideal for clinically assessing sensory, motor, and cognitive impairments in stroke and other neurological disorders. Further, they provide opportunities for novel therapeutic strategies. The present opinionated review describes how robotic technologies combined with virtual/augmented reality systems can support a broad range of behavioral tasks to objectively quantify brain function. This information could potentially be used to provide more accurate diagnostic and prognostic information than is available from current clinical assessment techniques. The review also highlights the potential benefits of robots to provide upper-limb therapy. Although the capital cost of these technologies is substantial, it pales in comparison with the potential cost reductions to the overall healthcare system that improved assessment and therapeutic interventions offer.

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

PubMed Central

2012-01-01

Background For effective health promotion using health information technology (HIT), it is mandatory that health consumers have the behavioral intention to measure, store, and manage their own health data. Understanding health consumers’ intention and behavior is needed to develop and implement effective and efficient strategies. Objective To develop and verify the extended Technology Acceptance Model (TAM) in health care by describing health consumers’ behavioral intention of using HIT. Methods This study used a cross-sectional descriptive correlational design. We extended TAM by adding more antecedents and mediating variables to enhance the model’s explanatory power and to make it more applicable to health consumers’ behavioral intention. Additional antecedents and mediating variables were added to the hypothetical model, based on their theoretical relevance, from the Health Belief Model and theory of planned behavior, along with the TAM. We undertook structural equation analysis to examine the specific nature of the relationship involved in understanding consumers’ use of HIT. Study participants were 728 members recruited from three Internet health portals in Korea. Data were collected by a Web-based survey using a structured self-administered questionnaire. Results The overall fitness indices for the model developed in this study indicated an acceptable fit of the model. All path coefficients were statistically significant. This study showed that perceived threat, perceived usefulness, and perceived ease of use significantly affected health consumers’ attitude and behavioral intention. Health consumers’ health status, health belief and concerns, subjective norm, HIT characteristics, and HIT self-efficacy had a strong indirect impact on attitude and behavioral intention through the mediators of perceived threat, perceived usefulness, and perceived ease of use. Conclusions An extended TAM in the HIT arena was found to be valid to describe health consumers’ behavioral intention. We categorized the concepts in the extended TAM into 3 domains: health zone, information zone, and technology zone. PMID:23026508

Development of a health information technology acceptance model using consumers' health behavior intention.

PubMed

Kim, Jeongeun; Park, Hyeoun-Ae

2012-10-01

For effective health promotion using health information technology (HIT), it is mandatory that health consumers have the behavioral intention to measure, store, and manage their own health data. Understanding health consumers' intention and behavior is needed to develop and implement effective and efficient strategies. To develop and verify the extended Technology Acceptance Model (TAM) in health care by describing health consumers' behavioral intention of using HIT. This study used a cross-sectional descriptive correlational design. We extended TAM by adding more antecedents and mediating variables to enhance the model's explanatory power and to make it more applicable to health consumers' behavioral intention. Additional antecedents and mediating variables were added to the hypothetical model, based on their theoretical relevance, from the Health Belief Model and theory of planned behavior, along with the TAM. We undertook structural equation analysis to examine the specific nature of the relationship involved in understanding consumers' use of HIT. Study participants were 728 members recruited from three Internet health portals in Korea. Data were collected by a Web-based survey using a structured self-administered questionnaire. The overall fitness indices for the model developed in this study indicated an acceptable fit of the model. All path coefficients were statistically significant. This study showed that perceived threat, perceived usefulness, and perceived ease of use significantly affected health consumers' attitude and behavioral intention. Health consumers' health status, health belief and concerns, subjective norm, HIT characteristics, and HIT self-efficacy had a strong indirect impact on attitude and behavioral intention through the mediators of perceived threat, perceived usefulness, and perceived ease of use. An extended TAM in the HIT arena was found to be valid to describe health consumers' behavioral intention. We categorized the concepts in the extended TAM into 3 domains: health zone, information zone, and technology zone.

Evolving Approaches and Technologies to Enhance the Role of Ecological Modeling in Decision Making

Treesearch

Eric Gustafson; John Nestler; Louis Gross; Keith M. Reynolds; Daniel Yaussy; Thomas P. Maxwell; Virginia H. Dale

2002-01-01

Understanding the effects of management activities is difficult for natural resource managers and decision makers because ecological systems are highly complex and their behavior is difficult to predict. Furthermore, the empirical studies necessary to illuminate all management questions quickly become logistically complicated and cost prohibitive. Ecological models...

Modeling the impact of improved aircraft operations technologies on the environment and airline behavior

NASA Astrophysics Data System (ADS)

Foley, Ryan Patrick

The overall goal of this thesis is to determine if improved operations technologies are economically viable for US airlines, and to determine the level of environmental benefits available from such technologies. Though these operational changes are being implemented primarily with the reduction of delay and improvement of throughput in mind, economic factors will drive the rate of airline adoption. In addition, the increased awareness of environmental impacts makes these effects an important aspect of decision-making. Understanding this relationship may help policymakers make decisions regarding implementation of these advanced technologies at airports, and help airlines determine appropriate levels of support to provide for these new technologies. In order to do so, the author models the behavior of a large, profit-seeking airline in response to the introduction of advanced equipage allowing improved operations procedures. The airline response included changes in deployed fleet, assignment of aircraft to routes, and acquisition of new aircraft. From these responses, changes in total fleet-level CO2 emissions and airline profit were tallied. As awareness of the environmental impact of aircraft emissions has grown, several agencies (ICAO, NASA) have moved to place goals for emissions reduction. NASA, in particular, has set goals for emissions reduction through several areas of aircraft technology. Among these are "Operational Improvements," technologies available in the short-term through avionics and airport system upgrades. The studies in this thesis make use of the Fleet-Level Environmental Evaluation Tool (FLEET), a simulation tool developed by Purdue University in support of a NASA-sponsored research effort. This tool models the behavior of a large, profit-seeking airline through an allocation problem. The problem is contained within a systems dynamics type approach that allows feedback between passenger demand, ticket price, and the airline fleet composition so that the demand and airline operations evolve over time. The studies indicate that, despite an increased cost, improved equipage provides benefits to airline profits as long as equipped airports are available. Improved equipage also reduces fuel burn on a per-flight basis, but depending on the percentage of equipped aircraft in the fleet, the overall airline fuel burn may increase. Improved equipage does increase capacity at busy airports - such as Chicago O'Hare - allowing a greater number of aircraft to operate at the airport on any given day. A sensitivity study indicates that, in the FLEET model, airline profits are most sensitive to changes in the underlying demand for air travel, followed by the price of jet fuel. Equipage related factors, such as the number of equipped airports in the network or the cost of improved equipage, have a comparatively minor influence on airline profit. Of these secondary factors, the assumed decrease in trip or segment distance enabled by improved equipage systems has the greatest impact on profit. Ability to retrofit aircraft and entry-in-service date of equipped aircraft has the greatest impact on the number of equipped aircraft in the fleet.

Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review

PubMed Central

2015-01-01

Background Widespread diffusion of mobile phone and Web 2.0 technologies make them potentially useful tools for promoting health and tackling public health issues, such as the increasing prevalence of overweight and obesity. Research in this domain is growing rapidly but, to date, no review has comprehensively and systematically documented how mobile and Web 2.0 technologies are being deployed and evaluated in relation to weight management. Objective To provide an up-to-date, comprehensive map of the literature discussing the use of mobile phone and Web 2.0 apps for influencing behaviors related to weight management (ie, diet, physical activity [PA], weight control, etc). Methods A systematic scoping review of the literature was conducted based on a published protocol (registered at PROSPERO: CRD42014010323). Using a comprehensive search strategy, we searched 16 multidisciplinary electronic databases for original research documents published in English between 2004 and 2014. We used duplicate study selection and data extraction. Using an inductively developed charting tool, selected articles were thematically categorized. Results We identified 457 articles, mostly published between 2013 and 2014 in 157 different journals and 89 conference proceedings. Articles were categorized around two overarching themes, which described the use of technologies for either (1) promoting behavior change (309/457, 67.6%) or (2) measuring behavior (103/457, 22.5%). The remaining articles were overviews of apps and social media content (33/457, 7.2%) or covered a combination of these three themes (12/457, 2.6%). Within the two main overarching themes, we categorized articles as representing three phases of research development: (1) design and development, (2) feasibility studies, and (3) evaluations. Overall, articles mostly reported on evaluations of technologies for behavior change (211/457, 46.2%). Conclusions There is an extensive body of research on mobile phone and Web 2.0 technologies for weight management. Research has reported on (1) the development, feasibility, and efficacy of persuasive mobile technologies used in interventions for behavior change (PA and diet) and (2) the design, feasibility, and accuracy of mobile phone apps for behavioral assessment. Further research has focused exclusively on analyses of the content and quality of available apps. Limited evidence exists on the use of social media for behavior change, but a segment of studies deal with content analyses of social media. Future research should analyze mobile phone and Web 2.0 technologies together by combining the evaluation of content and design aspects with usability, feasibility, and efficacy/effectiveness for behavior change, or accuracy/validity for behavior assessment, in order to understand which technological components and features are likely to result in effective interventions. PMID:26573984

Science Self-Efficacy and Innovative Behavior (IB) in Nigerian College Students Enrolled in Science, Technology, Engineering, and Mathematics (STEM) Programs

NASA Astrophysics Data System (ADS)

Okonkwo, Charles

This study will explore how science self-efficacy among college students in science, technology, engineering, and mathematics (STEM) fields in Nigeria predicts their innovation. Several reports on African development argue that science, technology and innovation underpin targets for dramatically reducing poverty in its many dimensions---income poverty, hunger, disease, exclusion, lack of infrastructure and shelter---while promoting gender equality, education, health, and environmental sustainability (UN Millennium Project, 2005). If African countries in general, including Nigeria, are to move from the exploitation of natural resources to technological innovation as the foundation for development, stakeholders in these countries must encourage development of individual ability to innovate products, services and work processes in crucial organizations (DeJong & DenHartog, 2010). The common denominator in the scientific and technological development of any country or organization is the individuals that make up these entities. An individual's engagement is the foundation for group motivation, innovation and improvement. These ideas inform the purpose of this study: to investigate how science self-efficacy among college students in various engineering fields in Nigeria predicts self-reported innovative behavior (IB), also referred to as Innovative Work Behavior (IWB). IB involves initiating new and useful ideas, processes, products or procedures, as well as the process of implementing these ideas (Farr & Ford, 1990; Scott & Bruce, 1994). The general findings of this study align with the dictates of social cognitive theory. Specifically, research indicates self-efficacy has the most predictive power for performance when it is measured at a level specific to the expected task (Bandura, 1997; Pajares, 1996). The findings from the hierarchical multiple regressions confirm that individuals' perceived science efficacy plays an important role in their perceived self-reported innovative behavior as it pertains to science and technological advancement. This dissertation contains five major chapters. The introduction (Chapter 1) makes a case for the significance of the scientific and technological problems facing Nigeria and African in general. The literature review (Chapter 2) examines the conceptualization and research that highlight the cognitive and behavioral processes present in individuals who are innovative and have a sense of self-efficacy in science. The methodology (Chapter 3) describes in detail the methodology that was used for the study, specifically, the participants, procedures, measures used, and analyses. The results (Chapter 4) present the outcome of the analyses with respect to the research questions. Finally, the discussion (Chapter 5) interprets the results from this study, integrating and analyzing the research findings in relation to other literature, as well as reflecting on the implications and limitations of the study.

Self-esteem and risky decision-making: an ERP study.

PubMed

Yang, Juan; Dedovic, Katarina; Zhang, Qinglin

2010-12-01

Self-esteem, a value one places on oneself, influences one's cognitive, emotional and behavioral responses across various situations. In the case of risky decision-making, high self-esteem (SE) individuals rely on their positive self-views and tend to be less defensive in response to a risky task; low SE individuals, on the contrary, tend to have fewer accessible positive resources and thus, are more prone to risk-aversion. While past studies have provided evidence for a link between self-esteem and a behaviorally-risky response, no study has explored the relation between self-esteem and the electrophysiological correlates of risky response. Therefore, the current study investigated the correlates of risky decision-making in high SE compared to low SE participants using event-related potentials (ERP) technology in 28 undergraduate students playing a blackjack game. The results showed that there was no difference between the high SE participants and the low SE participants with respect to the behavioral assessments of the risk-taking decision-making. However, for the electrophysiological data, we observed that the amplitude of P2 (150-300 ms) was more positive in the high SE participants compared to the low SE participants over the central-posterior scalp region. Dipole source analysis indicated that this positive component was generated in posterior cingulate cortex (PCC). These findings suggest that the high SE participants experienced more emotional signals than the low SE participants during decision-making.

An Exploration of the Associations of Alcohol-Related Social Media Use and Message Interpretation Outcomes to Problem Drinking Among College Students.

PubMed

Hoffman, Eric W; Austin, Erica Weintraub; Pinkleton, Bruce E; Austin, Bruce W

2017-07-01

College students' use of digital communication technology has led to a rapid expansion of digital alcohol marketing efforts. Two surveys (total usable n = 637) were conducted to explore college students' experiences with alcohol-related social media, their decision making related to alcohol use, and their problematic drinking behaviors. Study results indicated that students' use of alcohol-related social media predicted their problem drinking behaviors. In addition, students' wishful identification, perceived desirability, perceived similarity, and normative beliefs predicted their expectancies for drinking alcohol. Finally, students' expectancies for drinking alcohol predicted their problematic drinking behaviors.

Personnel reliability impact on petrochemical facilities monitoring system's failure skipping probability

NASA Astrophysics Data System (ADS)

Kostyukov, V. N.; Naumenko, A. P.

2017-08-01

The paper dwells upon urgent issues of evaluating impact of actions conducted by complex technological systems operators on their safe operation considering application of condition monitoring systems for elements and sub-systems of petrochemical production facilities. The main task for the research is to distinguish factors and criteria of monitoring system properties description, which would allow to evaluate impact of errors made by personnel on operation of real-time condition monitoring and diagnostic systems for machinery of petrochemical facilities, and find and objective criteria for monitoring system class, considering a human factor. On the basis of real-time condition monitoring concepts of sudden failure skipping risk, static and dynamic error, monitoring systems, one may solve a task of evaluation of impact that personnel's qualification has on monitoring system operation in terms of error in personnel or operators' actions while receiving information from monitoring systems and operating a technological system. Operator is considered as a part of the technological system. Although, personnel's behavior is usually a combination of the following parameters: input signal - information perceiving, reaction - decision making, response - decision implementing. Based on several researches on behavior of nuclear powers station operators in USA, Italy and other countries, as well as on researches conducted by Russian scientists, required data on operator's reliability were selected for analysis of operator's behavior at technological facilities diagnostics and monitoring systems. The calculations revealed that for the monitoring system selected as an example, the failure skipping risk for the set values of static (less than 0.01) and dynamic (less than 0.001) errors considering all related factors of data on reliability of information perception, decision-making, and reaction fulfilled is 0.037, in case when all the facilities and error probability are under control - not more than 0.027. In case when only pump and compressor units are under control, the failure skipping risk is not more than 0.022, when the probability of error in operator's action is not more than 0.011. The work output shows that on the basis of the researches results an assessment of operators' reliability can be made in terms of almost any kind of production, but considering only technological capabilities, since operators' psychological and general training considerable vary in different production industries. Using latest technologies of engineering psychology and design of data support systems, situation assessment systems, decision-making and responding system, as well as achievement in condition monitoring in various production industries one can evaluate hazardous condition skipping risk probability considering static, dynamic errors and human factor.

Discovering Decision Knowledge from Web Log Portfolio for Managing Classroom Processes by Applying Decision Tree and Data Cube Technology.

ERIC Educational Resources Information Center

Chen, Gwo-Dong; Liu, Chen-Chung; Ou, Kuo-Liang; Liu, Baw-Jhiune

2000-01-01

Discusses the use of Web logs to record student behavior that can assist teachers in assessing performance and making curriculum decisions for distance learning students who are using Web-based learning systems. Adopts decision tree and data cube information processing methodologies for developing more effective pedagogical strategies. (LRW)

Can Basic Research on Children and Families Be Useful for the Policy Process?

ERIC Educational Resources Information Center

Moore, Kristin A.

Based on the assumption that basic science is the crucial building block for technological and biomedical progress, this paper examines the relevance for public policy of basic demographic and behavioral sciences research on children and families. The characteristics of basic research as they apply to policy making are explored. First, basic…

Puncturing the pipeline: Do technology companies alienate women in recruiting sessions?

PubMed

Wynn, Alison T; Correll, Shelley J

2018-02-01

A 'chilly' environment limits women's advancement through the educational pipeline leading to jobs in science and technology. However, we know relatively little about the environment women encounter after making it through the educational pipeline. Do technology companies create environments that may dampen women's interest at the juncture when they are launching their careers? Using original observational data from 84 recruiting sessions hosted by technology companies at a prominent university on the US West Coast, we find that company representatives often engage in behaviors that are known to create a chilly environment for women. Through gender-imbalanced presenter roles, geek culture references, overt use of gender stereotypes, and other gendered speech and actions, representatives may puncture the pipeline, lessening the interest of women at the point of recruitment into technology careers.

Smartphone users: Understanding how security mechanisms are perceived and new persuasive methods

PubMed Central

Alsaleh, Mansour; Alomar, Noura; Alarifi, Abdulrahman

2017-01-01

Protecting smartphones against security threats is a multidimensional problem involving human and technological factors. This study investigates how smartphone users’ security- and privacy-related decisions are influenced by their attitudes, perceptions, and understanding of various security threats. In this work, we seek to provide quantified insights into smartphone users’ behavior toward multiple key security features including locking mechanisms, application repositories, mobile instant messaging, and smartphone location services. To the best of our knowledge, this is the first study that reveals often unforeseen correlations and dependencies between various privacy- and security-related behaviors. Our work also provides evidence that making correct security decisions might not necessarily correlate with individuals’ awareness of the consequences of security threats. By comparing participants’ behavior and their motives for adopting or ignoring certain security practices, we suggest implementing additional persuasive approaches that focus on addressing social and technological aspects of the problem. On the basis of our findings and the results presented in the literature, we identify the factors that might influence smartphone users’ security behaviors. We then use our understanding of what might drive and influence significant behavioral changes to propose several platform design modifications that we believe could improve the security levels of smartphones. PMID:28297719

Smartphone users: Understanding how security mechanisms are perceived and new persuasive methods.

PubMed

Alsaleh, Mansour; Alomar, Noura; Alarifi, Abdulrahman

2017-01-01

Protecting smartphones against security threats is a multidimensional problem involving human and technological factors. This study investigates how smartphone users' security- and privacy-related decisions are influenced by their attitudes, perceptions, and understanding of various security threats. In this work, we seek to provide quantified insights into smartphone users' behavior toward multiple key security features including locking mechanisms, application repositories, mobile instant messaging, and smartphone location services. To the best of our knowledge, this is the first study that reveals often unforeseen correlations and dependencies between various privacy- and security-related behaviors. Our work also provides evidence that making correct security decisions might not necessarily correlate with individuals' awareness of the consequences of security threats. By comparing participants' behavior and their motives for adopting or ignoring certain security practices, we suggest implementing additional persuasive approaches that focus on addressing social and technological aspects of the problem. On the basis of our findings and the results presented in the literature, we identify the factors that might influence smartphone users' security behaviors. We then use our understanding of what might drive and influence significant behavioral changes to propose several platform design modifications that we believe could improve the security levels of smartphones.

The Emergence of Personalized Health Technology.

PubMed

Allen, Luke Nelson; Christie, Gillian Pepall

2016-05-10

Personalized health technology is a noisy new entrant to the health space, yet to make a significant impact on population health but seemingly teeming with potential. Devices including wearable fitness trackers and healthy-living apps are designed to help users quantify and improve their health behaviors. Although the ethical issues surrounding data privacy have received much attention, little is being said about the impact on socioeconomic health inequalities. Populations who stand to benefit the most from these technologies are unable to afford, access, or use them. This paper outlines the negative impact that these technologies will have on inequalities unless their user base can be radically extended to include vulnerable populations. Frugal innovation and public-private partnership are discussed as the major means for reaching this end.

Biomedical wellness challenges and opportunities

NASA Astrophysics Data System (ADS)

Tangney, John F.

2012-06-01

The mission of ONR's Human and Bioengineered Systems Division is to direct, plan, foster, and encourage Science and Technology in cognitive science, computational neuroscience, bioscience and bio-mimetic technology, social/organizational science, training, human factors, and decision making as related to future Naval needs. This paper highlights current programs that contribute to future biomedical wellness needs in context of humanitarian assistance and disaster relief. ONR supports fundamental research and related technology demonstrations in several related areas, including biometrics and human activity recognition; cognitive sciences; computational neurosciences and bio-robotics; human factors, organizational design and decision research; social, cultural and behavioral modeling; and training, education and human performance. In context of a possible future with automated casualty evacuation, elements of current science and technology programs are illustrated.

Realistic computer network simulation for network intrusion detection dataset generation

NASA Astrophysics Data System (ADS)

Payer, Garrett

2015-05-01

The KDD-99 Cup dataset is dead. While it can continue to be used as a toy example, the age of this dataset makes it all but useless for intrusion detection research and data mining. Many of the attacks used within the dataset are obsolete and do not reflect the features important for intrusion detection in today's networks. Creating a new dataset encompassing a large cross section of the attacks found on the Internet today could be useful, but would eventually fall to the same problem as the KDD-99 Cup; its usefulness would diminish after a period of time. To continue research into intrusion detection, the generation of new datasets needs to be as dynamic and as quick as the attacker. Simply examining existing network traffic and using domain experts such as intrusion analysts to label traffic is inefficient, expensive, and not scalable. The only viable methodology is simulation using technologies including virtualization, attack-toolsets such as Metasploit and Armitage, and sophisticated emulation of threat and user behavior. Simulating actual user behavior and network intrusion events dynamically not only allows researchers to vary scenarios quickly, but enables online testing of intrusion detection mechanisms by interacting with data as it is generated. As new threat behaviors are identified, they can be added to the simulation to make quicker determinations as to the effectiveness of existing and ongoing network intrusion technology, methodology and models.

Nonlinear Ballistic Transport in an Atomically Thin Material.

PubMed

Boland, Mathias J; Sundararajan, Abhishek; Farrokhi, M Javad; Strachan, Douglas R

2016-01-26

Ultrashort devices that incorporate atomically thin components have the potential to be the smallest electronics. Such extremely scaled atomically thin devices are expected to show ballistic nonlinear behavior that could make them tremendously useful for ultrafast applications. While nonlinear diffusive electron transport has been widely reported, clear evidence for intrinsic nonlinear ballistic transport in the growing array of atomically thin conductors has so far been elusive. Here we report nonlinear electron transport of an ultrashort single-layer graphene channel that shows quantitative agreement with intrinsic ballistic transport. This behavior is shown to be distinctly different than that observed in similarly prepared ultrashort devices consisting, instead, of bilayer graphene channels. These results suggest that the addition of only one extra layer of an atomically thin material can make a significant impact on the nonlinear ballistic behavior of ultrashort devices, which is possibly due to the very different chiral tunneling of their charge carriers. The fact that we observe the nonlinear ballistic response at room temperature, with zero applied magnetic field, in non-ultrahigh vacuum conditions and directly on a readily accessible oxide substrate makes the nanogap technology we utilize of great potential for achieving extremely scaled high-speed atomically thin devices.

A brief history of decision making.

PubMed

Buchanan, Leigh; O'Connell, Andrew

2006-01-01

Sometime around the middle of the past century, telephone executive Chester Barnard imported the term decision making from public administration into the business world. There it began to replace narrower terms, like "resource allocation" and "policy making," shifting the way managers thought about their role from continuous, Hamlet-like deliberation toward a crisp series of conclusions reached and actions taken. Yet, decision making is, of course, a broad and ancient human pursuit, flowing back to a time when people sought guidance from the stars. From those earliest days, we have strived to invent better tools for the purpose, from the Hindu-Arabic systems for numbering and algebra, to Aristotle's systematic empiricism, to friar Occam's advances in logic, to Francis Bacon's inductive reasoning, to Descartes's application of the scientific method. A growing sophistication with managing risk, along with a nuanced understanding of human behavior and advances in technology that support and mimic cognitive processes, has improved decision making in many situations. Even so, the history of decision-making strategies--captured in this time line and examined in the four accompanying essays on risk, group dynamics, technology, and instinct--has not marched steadily toward perfect rationalism. Twentieth-century theorists showed that the costs of acquiring information lead executives to make do with only good-enough decisions. Worse, people decide against their own economic interests even when they know better. And in the absence of emotion, it's impossible to make any decisions at all. Erroneous framing, bounded awareness, excessive optimism: The debunking of Descartes's rational man threatens to swamp our confidence in our choices. Is it really surprising, then, that even as technology dramatically increases our access to information, Malcolm Gladwell extols the virtues of gut decisions made, literally, in the blink of an eye?

Development of Motivate4Change Using the Intervention Mapping Protocol: An Interactive Technology Physical Activity and Medication Adherence Promotion Program for Hospitalized Heart Failure Patients.

PubMed

Oosterom-Calo, Rony; Te Velde, Saskia J; Stut, Wim; Brug, Johannes

2015-07-20

It is important that heart failure (HF) patients adhere to their medication regimen and engage in physical activity. Evidence shows that adherence to these HF self-management behaviors can be improved with appropriate interventions. To further promote medication adherence and physical activity among HF patients, we developed an intervention for hospitalized HF patients. The intervention mapping protocol was applied in the development of the intervention. This entailed performing a needs assessment, defining change objectives, selecting determinants and strategies, and developing the materials. The resulting intervention, Motivate4Change, makes use of interactive technology and provides HF patients with personalized feedback and advice. Specific change objectives were defined. The relevant behavioral determinants for the physical activity program were practical knowledge on physical activity performance and self-efficacy for, and perceived benefits of, physical activity. For medication-taking, the selected determinants were practical knowledge on medication-taking, perceived barriers to medication-taking, beliefs about the necessity and harm regarding the medication prescribed, and beliefs about overprescribing and harm of medication in general. The change objectives and behavior change determinants were translated in feedback and advice strategies in an interactive technology program that included tailored feedback and advice, and role models in videos in which the behaviors and overcoming barriers were demonstrated. Relevant stakeholders were involved in the interventions development process. The intervention was pretested among HF patients and adjustments were made accordingly. The interactive technology physical activity and medication adherence promotion program for hospitalized HF patients was systematically developed using the intervention mapping protocol and was based on the available theory and evidence regarding HF self-management behavior change. The intervention's efficacy is yet to be determined in evaluation research.

Using Mobile & Personal Sensing Technologies to Support Health Behavior Change in Everyday Life: Lessons Learned

PubMed Central

Klasnja, Predrag; Consolvo, Sunny; McDonald, David W.; Landay, James A.; Pratt, Wanda

2009-01-01

Lifestyle modification is a key facet of the prevention and management of chronic diseases. Mobile devices that people already carry provide a promising platform for facilitating these lifestyle changes. This paper describes key lessons learned from the development and evaluation of two mobile systems for encouraging physical activity. We argue that by supporting persistent cognitive activation of health goals, encouraging an extensive range of relevant healthy behaviors, focusing on long-term patterns of activity, and facilitating social support as an optional but not primary motivator, systems can be developed that effectively motivate behavior change and provide support when and where people make decisions that affect their health. PMID:20351876

Learning Behavior Analysis of a Ubiquitous Situated Reflective Learning System with Application to Life Science and Technology Teaching

ERIC Educational Resources Information Center

Hwang, Wu-Yuin; Chen, Hong-Ren; Chen, Nian-Shing; Lin, Li-Kai; Chen, Jin-Wen

2018-01-01

Education research has shown that reflective study can efficiently enhance learning, and the acquisition of knowledge and skills from real-life situations has become a focus of interest for scholars. The knowledge-learning model based on verbal instruction, used in traditional classrooms, does not make use of real-life situations that encourage…

Human-machine analytics for closed-loop sense-making in time-dominant cyber defense problems

NASA Astrophysics Data System (ADS)

Henry, Matthew H.

2017-05-01

Many defense problems are time-dominant: attacks progress at speeds that outpace human-centric systems designed for monitoring and response. Despite this shortcoming, these well-honed and ostensibly reliable systems pervade most domains, including cyberspace. The argument that often prevails when considering the automation of defense is that while technological systems are suitable for simple, well-defined tasks, only humans possess sufficiently nuanced understanding of problems to act appropriately under complicated circumstances. While this perspective is founded in verifiable truths, it does not account for a middle ground in which human-managed technological capabilities extend well into the territory of complex reasoning, thereby automating more nuanced sense-making and dramatically increasing the speed at which it can be applied. Snort1 and platforms like it enable humans to build, refine, and deploy sense-making tools for network defense. Shortcomings of these platforms include a reliance on rule-based logic, which confounds analyst knowledge of how bad actors behave with the means by which bad behaviors can be detected, and a lack of feedback-informed automation of sensor deployment. We propose an approach in which human-specified computational models hypothesize bad behaviors independent of indicators and then allocate sensors to estimate and forecast the state of an intrusion. State estimates and forecasts inform the proactive deployment of additional sensors and detection logic, thereby closing the sense-making loop. All the while, humans are on the loop, rather than in it, permitting nuanced management of fast-acting automated measurement, detection, and inference engines. This paper motivates and conceptualizes analytics to facilitate this human-machine partnership.

Psychology's contribution to the well-being of older americans.

PubMed

Gatz, Margaret; Smyer, Michael A; DiGilio, Deborah A

2016-01-01

In concert with 6 decennial White House Conferences on Aging, psychologists have considered how developments in psychological science can contribute to the well-being of older Americans. We suggest 5 illustrative areas of psychological research: Advances in neuroscience elucidate ways to promote healthy cognitive aging; associated developments in neuropsychological assessment can help in protecting older Americans with cognitive losses from financial exploitation, abuse, and neglect. Psychological research on decision making and behavioral economics has much to offer to planning for retirement security and reducing vulnerability to financial abuse. Psychological research on self-management and behavior change can contribute importantly to enhancing good health behaviors among older adults; similarly the power of context on behavior can be harnessed in long-term care settings. Psychological research on attitudes and stereotypes gives insight into age bias that can be detrimental to healthy aging. Adaptive technologies and information technologies are beginning to transform assessment in research and clinical settings; technology also holds the promise of improving long-term support for older adults in both institutional and community-based settings. Finally, with 1 in 7 Americans now ages 65 and older, compared with 1 in 11 50 years ago, the psychology workforce-including health services providers and faculty to train those providers-is insufficient to meet the challenge of the aging population. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Ethics in cyberspace- a philosophical approach

NASA Astrophysics Data System (ADS)

Vesna, J. Lourdu; Niveditha, D.

2012-08-01

Encouraging students to expand their search for knowledge in cyberspace has brought in new dimension, on the handling of the new technology by the students and brought to light whether or not our curriculum demand such leap development and furthermore will student use the Internet in more socially responsible way. Children begin to learn ethical values right from birth through?families?and?religious?institution.?They?are?considered?as?primary?sources?for?a?childís?ethical?education?while?schools have the responsibility to teach and reinforce some moral values. New technologies bring about the need to interpret old values in new ways, but also may call for the creation of new codes of conduct when new actions are made possible with the use of technology. Children can quickly identify whether the behavior is right or wrong in real world but when students use virtual world behavior may not be as easily judged to be right or wrong. This study attempts to show the prevailing misconception thecyber ethics among students. This paper examines basis ethical issues when students have had to make ethical decisions. The study will qualitatively explore the level of understanding of teachers concerns and role in bringing in an ethical behavior on students on the Internet. If a student encounters unsafe behavior on the Internet, the student will be able to behave and act appropriately.

Application of video recording technology to improve husbandry and reproduction in the carmine bee-eater (Merops n. nubicus).

PubMed

Ferrie, Gina M; Sky, Christy; Schutz, Paul J; Quinones, Glorieli; Breeding, Shawnlei; Plasse, Chelle; Leighty, Katherine A; Bettinger, Tammie L

2016-01-01

Incorporating technology with research is becoming increasingly important to enhance animal welfare in zoological settings. Video technology is used in the management of avian populations to facilitate efficient information collection on aspects of avian reproduction that are impractical or impossible to obtain through direct observation. Disney's Animal Kingdom(®) maintains a successful breeding colony of Northern carmine bee-eaters. This African species is a cavity nester, making their nesting behavior difficult to study and manage in an ex situ setting. After initial research focused on developing a suitable nesting environment, our goal was to continue developing methods to improve reproductive success and increase likelihood of chicks fledging. We installed infrared bullet cameras in five nest boxes and connected them to a digital video recording system, with data recorded continuously through the breeding season. We then scored and summarized nesting behaviors. Using remote video methods of observation provided much insight into the behavior of the birds in the colony's nest boxes. We observed aggression between birds during the egg-laying period, and therefore immediately removed all of the eggs for artificial incubation which completely eliminated egg breakage. We also used observations of adult feeding behavior to refine chick hand-rearing diet and practices. Although many video recording configurations have been summarized and evaluated in various reviews, we found success with the digital video recorder and infrared cameras described here. Applying emerging technologies to cavity nesting avian species is a necessary addition to improving management in and sustainability of zoo avian populations. © 2015 Wiley Periodicals, Inc.

Future implications of eHealth interventions for chronic pain management in underserved populations.

PubMed

DeMonte, Colette M; DeMonte, William D; Thorn, Beverly E

2015-01-01

Many underserved communities, especially those in rural settings, face unique challenges that make high quality healthcare less accessible. The implementation of eHealth technologies has become a potentially valuable option to disseminate interventions. The authors' work in rural Alabama Federally Qualified Health Centers provide insights into the access to technology as well as the likelihood of utilizing eHealth technology in underserved communities. This paper will review current challenges related to digital dissemination of behavioral health interventions for chronic pain. Two major concerns are the lack of technological resources and the lack of appropriate materials for patients who may have low levels of reading, health and/or digital literacy. We will propose some recommendations to address common barriers faced by those providing care.

Health promoting interactive technology: Finnish, Norwegian, Russian and Swedish students' reflections.

PubMed

Kostenius, Catrine; Hertting, Krister

2016-09-01

The aim of this study was to elucidate Finnish, Norwegian, Russian and Swedish students' reflections and ideas on how interactive technology can be used to promote health in school. The data were collected in the northern part of these four countries, and 630 students aged 13-15 filled out the World Health Organization's 'Health Behavior in School-Aged Children' self-completion questionnaire with one additional open question, which is analyzed in this article (n = 419). The phenomenological analysis resulted in four themes: A sense of control, Balancing enjoyable options, Sharing with others and Learning made easier. The students point out that interactive technology promotes empowerment and independence, reduces stress and makes learning easier. They argue for a healthy balance of Internet use for it to be health promoting. According to the students, good relationships increase well-being; and interactive technology can offer a way to socialize, provide a tool for meeting and making new friends, help when not feeling well and give support when encouraging classmates. We argue, based on the findings of the present study and previous research, that students need a combination of freedom and meaningful relationships with adults who have an empowered child perspective, to fully take advantage of the empowering effects of interactive technology. We suggest, as implications for practice, that teachers, school leaders and health care professionals find ways to act as partners using an appreciative process, asking questions on what works well, to make interactive technology an enabling technology to increase health literacy, thus improving health and well-being in students. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Remote health coaching for interactive exercise with older adults in a home environment.

PubMed

Jimison, Holly B; Hagler, Stuart; Kurillo, Gregorij; Bajcsy, Ruzena; Pavel, Misha

2015-01-01

Optimal health coaching interventions are tailored to individuals' needs, preferences, motivations, barriers, timing, and readiness to change. Technology approaches are useful in both monitoring a user's adherence to their behavior change goals and also in providing just-in-time feedback and coaching messages. User models that incorporate dynamically varying behavior change variables with algorithms that trigger tailored messages provide a framework for making health interventions more effective. These principles are applied in the described system for assisting older adults in meeting their physical exercise goals with a tailored interactive video system with just-in-time feedback and encouragement.

Living excellence: life after Magnet designation.

PubMed

Malloch, Kathy

2009-01-01

The achievement of Magnet recognition is the beginning of a new way of being as an organization. Strategies to support innovation leadership, value-based decision making, agility, sustainability of excellence, technology advancements, and lifelong learning are discussed within the framework of the Magnet organization. Behaviors and challenges of living the expectations of the Magnet organization are presented as opportunities to assist healthcare leaders in this important work.

Understanding Optimal Decision-Making in Wargaming

DTIC Science & Technology

2013-10-01

beneficial outcomes from wargaming, one of which is a better understanding of the impact of decisions as a part of combat processes. However, using...under instrument flight rules ( IFR ) (Bellenkes et al., 1997; Katoh, 1997). Of note, eye-tracking technology also has been applied to investigate...Neuroscience, 7 . Skinner, A., Berka, C., Ohara-Long, L., & Sebrechts, M. (2010). Impact of Virtual En- vironment Fidelity on Behavioral and

Reducing domestic heating demand: Managing the impact of behavior-changing feedback devices via marketing.

PubMed

Jensen, Thorben; Chappin, Émile J L

2017-07-15

Feedback devices can be used to inform households about their energy-consumption behavior. This may persuade them to practice energy conservation. The use of feedback devices can also-via word of mouth-spread among households and thereby support the spread of the incentivized behavior, e.g. energy-efficient heating behavior. This study investigates how to manage the impact of these environmental innovations via marketing. Marketing activities can support the diffusion of devices. This study aims to identify the most effective strategies of marketing feedback devices. We did this by adapting an agent-based model to simulate the roll-out of a novel feedback technology and heating behavior within households in a virtual city. The most promising marketing strategies were simulated and their impacts were analyzed. We found it particularly effective to lend out feedback devices to consumers, followed by leveraging the social influence of well-connected individuals, and giving away the first few feedback devices for free. Making households aware of the possibility of purchasing feedback devices was found to be least effective. However, making households aware proved to be most cost-efficient. This study shows that actively managing the roll-out of feedback devices can increase their impacts on energy-conservation both effectively and cost-efficiently. Copyright © 2017 Elsevier Ltd. All rights reserved.

Gray Wolf (Canis lupus) movements and behavior around a kill site and implications for GPS collar studies

USGS Publications Warehouse

Mech, L. David

2011-01-01

Global Positioning System (GPS) radio-collars are increasingly used to estimate Gray Wolf (Canis lupus) kill rates. In interpreting results from this technology, researchers make various assumptions about wolf behavior around kills, yet no detailed description of this behavior has been published. This article describes the behavior of six wolves in an area of constant daylight during 30 hours, from when the pack killed a Muskox (Ovibos moschatus) calf and yearling on Ellesmere Island, Nunavut, Canada, to when they abandoned the kill remains. Although this is only a single incident, it demonstrates one possible scenario of pack behavior around a kill. Combined with the literature, this observation supports placing a radio-collar on the breeding male to maximize finding kills via GPS collars and qualifying results depending on whatever other information is available about the collared wolf's pack.

Influences of Government Championship on the Technology Innovation Process at the Project-level

NASA Astrophysics Data System (ADS)

Yue, Xin

Government support is a popular instrument to foster technology innovation. It can take various forms such as financial aid, tax credits, and technological assistance. Along with the firm characteristics, strategic behavior of the project team, characteristics of the technology and the market, and the regulatory environment, government support influences firms' research and development (R&D) motivations, decision making process, and hence technology development performance. How government support influences the performance in different industries is an important policy and research question. There are many studies on the effectiveness and impacts of government support, mostly at program-level or industry-level. Government Championship is a form of government support distinct from direct financial or technological assistance. Championship includes expressing confidence in the innovation, encouraging others to support the innovation, and persisting under adversity. Championship has been studied as a critical inside factor for innovation success, particularly at project-level. Usually a champion emerged within the organization responsible for the innovation project. However, with the intention to encourage technology development, governments can also play a championship role. Government championship, besides government financial and technological assistance (hereafter "government F&T"), could be one major category of government support to facilitate high-technology innovation. However, there are few studies focusing on the effectiveness of government championship, and how it influences the innovation process. This thesis addresses this question through two studies on high-technology development projects. The first study has tested the effectiveness of government championship on the performance of 431 government sponsored technology innovation projects. Government championship and government F&T, as well as project team strategic behavior, are hypothesized to influence the technology innovation performance. The team strategy has two dimensions in this model: pro-activeness and defensiveness, which indicate the emphasis of the team on exploiting new opportunities, and enhancing the current methods, respectively. A survey was administered to the project managers of li-ion battery projects in the United States. After data was collected, factor analysis and regression were used to test hypotheses. The results suggest that both government championship and government F&T are positive factors in technology innovation performance, while strategic behaviors are positive and more significant. The results also suggest a strong correlation between government support (both championship and F&T assistance) and the R&D team strategy, which means government intervention and team strategic behavior could affect each other. To understand how the government champions and the project team impact each other during the project, the second study employed a single in-depth case study, investigating the Shenhua Direct-Coal-Liquefaction (DCL) Project. A variety of government championship behaviors have been identified, and their situation and impacts on the project performance and outcome were analyzed. This case is a good start to accumulate information and observations for a better understanding of the influences of government championship in technology innovation. These two studies will help increase understanding of how government championship behaviors influence the process, the project performance, and the outcome of technology innovation, particularly in high-technology industries.

Evaluation of a telehealth training package to remotely train staff to conduct a preference assessment.

PubMed

Higgins, William J; Luczynski, Kevin C; Carroll, Regina A; Fisher, Wayne W; Mudford, Oliver C

2017-04-01

Recent advancements in telecommunication technologies make it possible to conduct a variety of healthcare services remotely (e.g., behavioral-analytic intervention services), thereby bridging the gap between qualified providers and consumers in isolated locations. In this study, web-based telehealth technologies were used to remotely train direct-care staff to conduct a multiple-stimulus-without-replacement preference assessment. The training package included three components: (a) a multimedia presentation; (b) descriptive feedback from previously recorded baseline sessions; and (c) scripted role-play with immediate feedback. A nonconcurrent, multiple-baseline-across-participants design was used to demonstrate experimental control. Training resulted in robust and immediate improvements, and these effects maintained during 1- to 2-month follow-up observations. In addition, participants expressed high satisfaction with the web-based materials and the overall remote-training experience. © 2017 Society for the Experimental Analysis of Behavior.

Post-coma persons with multiple disabilities use assistive technology for their leisure engagement and communication.

PubMed

Lancioni, Giulio E; Singh, Nirbhay N; O'Reilly, Mark F; Sigafoos, Jeff; Oliva, Doretta; Buonocunto, Francesca; Sacco, Valentina; D'Amico, Fiora; Navarro, Jorge; Lanzilotti, Crocifissa; De Tommaso, Marina; Megna, Marisa

2014-01-01

Interventions for post-coma persons, who have emerged from a minimally conscious state but present with extensive neuro-motor impairment and lack of or minimal verbal skills, need to promote occupation and communication through the use of assistive technology. These two studies were aimed at assessing two technology-aided programs to promote leisure engagement and communication for three post-coma participants with multiple disabilities. Study I assessed a program to allow a woman and a man with extensive neuro-motor impairment and lack of speech to switch on music and videos, make requests to caregivers, and send messages to (communicate with) relevant partners and receive messages from those partners. Study II assessed a program to allow a post-coma woman with extensive motor impairment and reduced verbal behavior to activate music, videos and requests, send and receive messages, and make telephone calls. Data showed that both programs were successful. The participants of Study I managed leisure engagement, requests, as well as text messaging. The participant of Study II showed consistent leisure engagement, text messaging, and telephone calls. Assistive technology can be profitably used to provide post-coma persons with multiple disabilities relevant leisure and communication opportunities.

The heritability and genetic correlates of mobile phone use: a twin study of consumer behavior.

PubMed

Miller, Geoffrey; Zhu, Gu; Wright, Margaret J; Hansell, Narelle K; Martin, Nicholas G

2012-02-01

There has been almost no overlap between behavior genetics and consumer behavior research, despite each field's importance in understanding society. In particular, both have neglected to study genetic influences on consumer adoption and usage of new technologies -- even technologies as important as the mobile phone, now used by 5.8 out of 7.0 billion people on earth. To start filling this gap, we analyzed self-reported mobile phone use, intelligence, and personality traits in two samples of Australian teenaged twins (mean ages 14.2 and 15.6 years), totaling 1,036 individuals. ACE modeling using Mx software showed substantial heritabilities for how often teens make voice calls (.60 and .34 in samples 1 and 2, respectively) and for how often they send text messages (.53 and. 50). Shared family environment - including neighborhood, social class, parental education, and parental income (i.e., the generosity of calling plans that parents can afford for their teens) -- had much weaker effects. Multivariate modeling based on cross-twin, cross-trait correlations showed negative genetic correlations between talking/texting frequency and intelligence (around -.17), and positive genetic correlations between talking/texting frequency and extraversion (about .20 to .40). Our results have implications for assessing the risks of mobile phone use such as radiofrequency field (RF) exposure and driving accidents, for studying adoption and use of other emerging technologies, for understanding the genetic architecture of the cognitive and personality traits that predict consumer behavior, and for challenging the common assumption that consumer behavior is shaped entirely by culture, media, and family environment.

[Treatment Decision-Making Process of Cancer Patients].

PubMed

Lee, Shiu-Yu C Katie

2016-10-01

The decision-making process that is used by cancer patients to determine their treatment has become more multi-foci, difficult and complicated in recent years. This has in part been attributed to the increasing incidence rate of cancer in Taiwan and the rapid development of medical technologies and treatment modalities. Oncology nurses must assist patients and family to make informed and value-based treatment decisions. Decision-making is an information process that involves appraising one's own expectation and values based on his/her knowledge on cancer and treatment options. Because cancer treatment involves risks and uncertainties, and impacts quality of life, the treatment decision-making for cancer is often stressful, or even conflicting. This paper discusses the decision-making behaviors of cancer patients and the decisional conflict, participation, and informational needs that are involved in cancer treatment. The trend toward shared decision-making and decisional support will be also explored in order to facilitate the future development of appropriate clinical interventions and research.

Using Technology to Improve the Objectivity of Criminal Responsibility Evaluations.

PubMed

Vitacco, Michael J; Gottfried, Emily D; Batastini, Ashley B

2018-03-01

Criminal responsibility (or insanity) evaluations require forensic clinicians to reconstruct a defendant's decision-making abilities, behavioral control, and emotional state at the time of the criminal act. Forensic evaluators are ultimately tasked to evaluate whether an individual had the capacity to understand right from wrong, and in some jurisdictions, determine whether the defendant lacked substantial capacity to conform his behavior to the requirements of the law as a result of a threshold condition (e.g., mental illness). Insanity evaluations are inherently complex, because they require the clinician to determine someone's mental state at some point in the past (weeks, months, or even years). Recent research on insanity evaluations underscores significant problems with the reliability and validity of these evaluations. However, technological advances including social media (e.g., Facebook and Twitter), mandating that law enforcement videotape interrogations, and the use of body and dashboard cameras can aid clinicians in improving the precision and quality of insanity evaluations. This article discusses practical guidelines and ethics-related concerns regarding the use of technology to improve the objectivity of criminal responsibility evaluations. © 2018 American Academy of Psychiatry and the Law.

A tracking system for laboratory mice to support medical researchers in behavioral analysis.

PubMed

Macrì, S; Mainetti, L; Patrono, L; Pieretti, S; Secco, A; Sergi, I

2015-08-01

The behavioral analysis of laboratory mice plays a key role in several medical and scientific research areas, such as biology, toxicology, pharmacology, and so on. Important information on mice behavior and their reaction to a particular stimulus is deduced from a careful analysis of their movements. Moreover, behavioral analysis of genetically modified mice allows obtaining important information about particular genes, phenotypes or drug effects. The techniques commonly adopted to support such analysis have many limitations, which make the related systems particularly ineffective. Currently, the engineering community is working to explore innovative identification and sensing technologies to develop new tracking systems able to guarantee benefits to animals' behavior analysis. This work presents a tracking solution based on passive Radio Frequency Identification Technology (RFID) in Ultra High Frequency (UHF) band. Much emphasis is given to the software component of the system, based on a Web-oriented solution, able to process the raw tracking data coming from a hardware system, and offer 2D and 3D tracking information as well as reports and dashboards about mice behavior. The system has been widely tested using laboratory mice and compared with an automated video-tracking software (i.e., EthoVision). The obtained results have demonstrated the effectiveness and reliability of the proposed solution, which is able to correctly detect the events occurring in the animals' cage, and to offer a complete and user-friendly tool to support researchers in behavioral analysis of laboratory mice.

Design and protocol of a randomized multiple behavior change trial: Make Better Choices 2 (MBC2).

PubMed

Pellegrini, Christine A; Steglitz, Jeremy; Johnston, Winter; Warnick, Jennifer; Adams, Tiara; McFadden, H G; Siddique, Juned; Hedeker, Donald; Spring, Bonnie

2015-03-01

Suboptimal diet and inactive lifestyle are among the most prevalent preventable causes of premature death. Interventions that target multiple behaviors are potentially efficient; however the optimal way to initiate and maintain multiple health behavior changes is unknown. The Make Better Choices 2 (MBC2) trial aims to examine whether sustained healthful diet and activity change are best achieved by targeting diet and activity behaviors simultaneously or sequentially. Study design approximately 250 inactive adults with poor quality diet will be randomized to 3 conditions examining the best way to prescribe healthy diet and activity change. The 3 intervention conditions prescribe: 1) an increase in fruit and vegetable consumption (F/V+), decrease in sedentary leisure screen time (Sed-), and increase in physical activity (PA+) simultaneously (Simultaneous); 2) F/V+ and Sed- first, and then sequentially add PA+ (Sequential); or 3) Stress Management Control that addresses stress, relaxation, and sleep. All participants will receive a smartphone application to self-monitor behaviors and regular coaching calls to help facilitate behavior change during the 9 month intervention. Healthy lifestyle change in fruit/vegetable and saturated fat intakes, sedentary leisure screen time, and physical activity will be assessed at 3, 6, and 9 months. MBC2 is a randomized m-Health intervention examining methods to maximize initiation and maintenance of multiple healthful behavior changes. Results from this trial will provide insight about an optimal technology supported approach to promote improvement in diet and physical activity. Copyright © 2015 Elsevier Inc. All rights reserved.

Cyber Norms for Civilian Nuclear Power Plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Spirito, Christopher

The international community agrees that the safe operation of civilian nuclear infrastructure is in every population’s best interest. One challenge each government must address is defining and agreeing to a set of acceptable norms of behavior in cyberspace as they relate to these facilities. The introduction of digital systems and networking technologies into these environments has led to the possibility that control and supporting computer systems are now accessible and exploitable, especially where interconnections to global information and communications technology (ICT) networks exist. The need for norms of behavior in cyberspace includes what is expected of system architects and cybermore » defenders as well as adversaries who should abide by rules of engagement even while conducting acts that violate national and international laws. The goal of this paper is to offer three behavioral cyber norms to improve the overall security of the ICT and Operational Technology (OT) networks and systems that underlie the operations of nuclear facilities. These norms of behavior will be specifically defined with the goals of reducing the threats associated to the theft of nuclear materials, accidental release of radiation and sabotage of nuclear processes. These norms would also include instances where an unwitting attacker or intelligence collection entity inadvertently makes their way into a nuclear facility network or system and can recognize they are in a protected zone and an approach to ensuring that these zones are not exploitable by bad actors to place their sensitive cyber effect delivery systems.« less

Digital Systems Validation Handbook. Volume 2. Chapter 18. Avionic Data Bus Integration Technology

DTIC Science & Technology

1993-11-01

interaction between a digital data bus and an avionic system. Very Large Scale Integration (VLSI) ICs and multiversion software, which make up digital...1984, the Sperry Corporation developed a fault tolerant system which employed multiversion programming, voting, and monitoring for error detection and...formulate all the significant behavior of a system. MULTIVERSION PROGRAMMING. N-version programming. N-VERSION PROGRAMMING. The independent coding of a

FLIC: High-Throughput, Continuous Analysis of Feeding Behaviors in Drosophila

PubMed Central

Pletcher, Scott D.

2014-01-01

We present a complete hardware and software system for collecting and quantifying continuous measures of feeding behaviors in the fruit fly, Drosophila melanogaster. The FLIC (Fly Liquid-Food Interaction Counter) detects analog electronic signals as brief as 50 µs that occur when a fly makes physical contact with liquid food. Signal characteristics effectively distinguish between different types of behaviors, such as feeding and tasting events. The FLIC system performs as well or better than popular methods for simple assays, and it provides an unprecedented opportunity to study novel components of feeding behavior, such as time-dependent changes in food preference and individual levels of motivation and hunger. Furthermore, FLIC experiments can persist indefinitely without disturbance, and we highlight this ability by establishing a detailed picture of circadian feeding behaviors in the fly. We believe that the FLIC system will work hand-in-hand with modern molecular techniques to facilitate mechanistic studies of feeding behaviors in Drosophila using modern, high-throughput technologies. PMID:24978054

X-33/RLV System Health Management/Vehicle Health Management

NASA Technical Reports Server (NTRS)

Mouyos, William; Wangu, Srimal

1998-01-01

To reduce operations costs, Reusable Launch Vehicles (RLVS) must include highly reliable robust subsystems which are designed for simple repair access with a simplified servicing infrastructure, and which incorporate expedited decision-making about faults and anomalies. A key component for the Single Stage To Orbit (SSTO) RLV system used to meet these objectives is System Health Management (SHM). SHM incorporates Vehicle Health Management (VHM), ground processing associated with the vehicle fleet (GVHM), and Ground Infrastructure Health Management (GIHM). The primary objective of SHM is to provide an automated and paperless health decision, maintenance, and logistics system. Sanders, a Lockheed Martin Company, is leading the design, development, and integration of the SHM system for RLV and for X-33 (a sub-scale, sub-orbit Advanced Technology Demonstrator). Many critical technologies are necessary to make SHM (and more specifically VHM) practical, reliable, and cost effective. This paper will present the X-33 SHM design which forms the baseline for the RLV SHM, and it will discuss applications of advanced technologies to future RLVs. In addition, this paper will describe a Virtual Design Environment (VDE) which is being developed for RLV. This VDE will allow for system design engineering, as well as program management teams, to accurately and efficiently evaluate system designs, analyze the behavior of current systems, and predict the feasibility of making smooth and cost-efficient transitions from older technologies to newer ones. The RLV SHM design methodology will reduce program costs, decrease total program life-cycle time, and ultimately increase mission success.

Stay Alive--Simulation for Situational Safety Awareness

NASA Technical Reports Server (NTRS)

Ruder, Michelle

2008-01-01

STAY ALIVE is an idea for a safety awareness simulation prototype, powered by gaming technology, that would make safety training enlightening, engaging and fun. Recalling initial instructions and using situational awareness principles, participants would escape a fire by choosing the appropriate door. Escape times would be measured while stressors increased. This presentation describes how STAY ALIVE utilizes first person point of view (PoV), a generic scenario, immersion- and presence-enhancing design, and ease of distribution to provide more people opportunity to realize, review, analyze and practice effective awareness behaviors. The goals for this prototype include facilitating interest in first-person PoV safety training and eliciting further suggestions on prevention technologies.

Mobile applications for weight management: theory-based content analysis.

PubMed

Azar, Kristen M J; Lesser, Lenard I; Laing, Brian Y; Stephens, Janna; Aurora, Magi S; Burke, Lora E; Palaniappan, Latha P

2013-11-01

The use of smartphone applications (apps) to assist with weight management is increasingly prevalent, but the quality of these apps is not well characterized. The goal of the study was to evaluate diet/nutrition and anthropometric tracking apps based on incorporation of features consistent with theories of behavior change. A comparative, descriptive assessment was conducted of the top-rated free apps in the Health and Fitness category available in the iTunes App Store. Health and Fitness apps (N=200) were evaluated using predetermined inclusion/exclusion criteria and categorized based on commonality in functionality, features, and developer description. Four researchers then evaluated the two most popular apps in each category using two instruments: one based on traditional behavioral theory (score range: 0-100) and the other on the Fogg Behavioral Model (score range: 0-6). Data collection and analysis occurred in November 2012. Eligible apps (n=23) were divided into five categories: (1) diet tracking; (2) healthy cooking; (3) weight/anthropometric tracking; (4) grocery decision making; and (5) restaurant decision making. The mean behavioral theory score was 8.1 (SD=4.2); the mean persuasive technology score was 1.9 (SD=1.7). The top-rated app on both scales was Lose It! by Fitnow Inc. All apps received low overall scores for inclusion of behavioral theory-based strategies. © 2013 American Journal of Preventive Medicine.

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey.

PubMed

Tavares, Jorge; Oliveira, Tiago

2016-03-02

The future of health care delivery is becoming more citizen centered, as today's user is more active, better informed, and more demanding. Worldwide governments are promoting online health services, such as electronic health record (EHR) patient portals and, as a result, the deployment and use of these services. Overall, this makes the adoption of patient-accessible EHR portals an important field to study and understand. The aim of this study is to understand the factors that drive individuals to adopt EHR portals. We applied a new adoption model using, as a starting point, Ventkatesh's Unified Theory of Acceptance and Use of Technology in a consumer context (UTAUT2) by integrating a new construct specific to health care, a new moderator, and new relationships. To test the research model, we used the partial least squares (PLS) causal modelling approach. An online questionnaire was administrated. We collected 360 valid responses. The statistically significant drivers of behavioral intention are performance expectancy (beta=.200; t=3.619), effort expectancy (beta=.185; t=2.907), habit (beta=.388; t=7.320), and self-perception (beta=.098; t=2.285). The predictors of use behavior are habit (beta=0.206; t=2.752) and behavioral intention (beta=0.258; t=4.036). The model explained 49.7% of the variance in behavioral intention and 26.8% of the variance in use behavior. Our research helps to understand the desired technology characteristics of EHR portals. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not. The inclusion of specific constructs and relationships related to the health care consumer area also had a significant impact on understanding the adoption of EHR portals.

Can Text Messages Increase Empathy and Prosocial Behavior? The Development and Initial Validation of Text to Connect.

PubMed

Konrath, Sara; Falk, Emily; Fuhrel-Forbis, Andrea; Liu, Mary; Swain, James; Tolman, Richard; Cunningham, Rebecca; Walton, Maureen

2015-01-01

To what extent can simple mental exercises cause shifts in empathic habits? Can we use mobile technology to make people more empathic? It may depend on how empathy is measured. Scholars have identified a number of different facets and correlates of empathy. This study is among the first to take a comprehensive, multidimensional approach to empathy to determine how empathy training could affect these different facets and correlates. In doing so, we can learn more about empathy and its multifaceted nature. Participants (N = 90) were randomly assigned to receive either an empathy-building text message program (Text to Connect) or one of two control conditions (active versus passive). Respondents completed measures of dispositional empathy (i.e. self-perceptions of being an empathic person), affective empathy (i.e. motivations to help, immediate feelings of empathic concern), and prosocial behavior (i.e. self-reports and observer-reports) at baseline, and then again after the 14 day intervention period. We found that empathy-building messages increased affective indicators of empathy and prosocial behaviors, but actually decreased self-perceptions of empathy, relative to control messages. Although the brief text messaging intervention did not consistently impact empathy-related personality traits, it holds promise for the use of mobile technology for changing empathic motivations and behaviors.

Can Text Messages Increase Empathy and Prosocial Behavior? The Development and Initial Validation of Text to Connect

PubMed Central

Konrath, Sara; Falk, Emily; Fuhrel-Forbis, Andrea; Liu, Mary; Swain, James; Tolman, Richard; Cunningham, Rebecca; Walton, Maureen

2015-01-01

To what extent can simple mental exercises cause shifts in empathic habits? Can we use mobile technology to make people more empathic? It may depend on how empathy is measured. Scholars have identified a number of different facets and correlates of empathy. This study is among the first to take a comprehensive, multidimensional approach to empathy to determine how empathy training could affect these different facets and correlates. In doing so, we can learn more about empathy and its multifaceted nature. Participants (N = 90) were randomly assigned to receive either an empathy-building text message program (Text to Connect) or one of two control conditions (active versus passive). Respondents completed measures of dispositional empathy (i.e. self-perceptions of being an empathic person), affective empathy (i.e. motivations to help, immediate feelings of empathic concern), and prosocial behavior (i.e. self-reports and observer-reports) at baseline, and then again after the 14 day intervention period. We found that empathy-building messages increased affective indicators of empathy and prosocial behaviors, but actually decreased self-perceptions of empathy, relative to control messages. Although the brief text messaging intervention did not consistently impact empathy-related personality traits, it holds promise for the use of mobile technology for changing empathic motivations and behaviors. PMID:26356504

Sexual behavior of infertile women: a qualitative study.

PubMed

Bokaie, Mahshid; Simbar, Masoumeh; Yassini Ardekani, Seyed Mojtaba

2015-10-01

Infertility makes an essential challenge to the sexual life of couples, especially infertile women. When pregnancy does not happen, infertile women think that sexual intercourse is not fruitful and sexual desire became reduce gradually. Infertile women progressively forget that their sexual relationship is also a response to their natural need. This qualitative study was conducted to explore the infertility consequences in the sexual behavior of infertile women. This was a qualitative content analysis study; and it was part of a widespread study, used a sequential mixed-method and conducted from August 2014 until February 2015. A purposeful sampling was used to recruit infertile women who had referred to Yazd Research and Clinical Center for Infertility. Data gathering techniques employed in this research included in-depth semi structured open face-to-face interviews and field notes. Credibility, transferability, confirm ability, and dependability were assessed for the rigor of the data collection. Totally, 15 infertile women and 8 key informants were interviewed. Data analysis showed four themes about impact of infertility on female sexual behavior: 1/ Impact of infertility drugs on couple sexual behavior, 2/ Impact of assisted reproductive technologies on female sexual behavior, 3/ Timed intercourse during infertility and 4/ The psychological impact of infertility on sexual behavior. Some of Iranian infertile women could cope with their problems, but some of them were very affected by infertility drugs and assisted reproductive technologies procedures. Psychosexual counseling before medical treatment could help them to have a better sexual life.

Sexual behavior of infertile women: a qualitative study

PubMed Central

Bokaie, Mahshid; Simbar, Masoumeh; Yassini Ardekani, Seyed Mojtaba

2015-01-01

Background: Infertility makes an essential challenge to the sexual life of couples, especially infertile women. When pregnancy does not happen, infertile women think that sexual intercourse is not fruitful and sexual desire became reduce gradually. Infertile women progressively forget that their sexual relationship is also a response to their natural need. Objective: This qualitative study was conducted to explore the infertility consequences in the sexual behavior of infertile women. Materials and Methods: This was a qualitative content analysis study; and it was part of a widespread study, used a sequential mixed-method and conducted from August 2014 until February 2015. A purposeful sampling was used to recruit infertile women who had referred to Yazd Research and Clinical Center for Infertility. Data gathering techniques employed in this research included in-depth semi structured open face-to-face interviews and field notes. Credibility, transferability, confirm ability, and dependability were assessed for the rigor of the data collection. Results: Totally, 15 infertile women and 8 key informants were interviewed. Data analysis showed four themes about impact of infertility on female sexual behavior: 1/ Impact of infertility drugs on couple sexual behavior, 2/ Impact of assisted reproductive technologies on female sexual behavior, 3/ Timed intercourse during infertility and 4/ The psychological impact of infertility on sexual behavior. Conclusion: Some of Iranian infertile women could cope with their problems, but some of them were very affected by infertility drugs and assisted reproductive technologies procedures. Psychosexual counseling before medical treatment could help them to have a better sexual life. PMID:26644793

An intervention fidelity framework for technology-based behavioral interventions.

PubMed

Devito Dabbs, Annette; Song, Mi-Kyung; Hawkins, Robert; Aubrecht, Jill; Kovach, Karen; Terhorst, Lauren; Connolly, Mary; McNulty, Mary; Callan, Judith

2011-01-01

Despite the proliferation of health technologies, descriptions of the unique considerations and practical guidance for evaluating the intervention fidelity of technology-based behavioral interventions are lacking. The aims of this study were to (a) discuss how technology-based behavioral interventions challenge conventions about how intervention fidelity is conceptualized and evaluated, (b) propose an intervention fidelity framework that may be more appropriate for technology-based behavioral interventions, and (c) present a plan for operationalizing each concept in the framework using the intervention fidelity monitoring plan for Pocket PATH (Personal Assistant for Tracking Health), a mobile health technology designed to promote self-care behaviors after lung transplantation, as an exemplar. The literature related to intervention fidelity and technology acceptance was used to identify the issues that are unique to the fidelity of technology-based behavioral interventions and thus important to include in a proposed intervention fidelity framework. An intervention fidelity monitoring plan for technology-based behavioral interventions was developed as an example. The intervention fidelity monitoring plan was deemed feasible and practical to implement and showed utility in operationalizing the concepts such as assessing interventionists' delivery and participants' acceptance of the technology-based behavioral intervention. The framework has the potential to guide the development of implementation fidelity monitoring tools for other technology-based behavioral interventions. Further application and testing of this framework will allow for a better understanding of the role that technology acceptance plays in the adoption and enactment of the behaviors that technology-based behavioral interventions are intended to promote.

Factors associated with patterns of mobile technology use among persons who inject drugs.

PubMed

Collins, Kelly M; Armenta, Richard F; Cuevas-Mota, Jazmine; Liu, Lin; Strathdee, Steffanie A; Garfein, Richard S

2016-01-01

New and innovative methods of delivering interventions are needed to further reduce risky behaviors and increase overall health among persons who inject drugs (PWID). Mobile health (mHealth) interventions have potential for reaching PWID; however, little is known about mobile technology use (MTU) in this population. In this study, the authors identify patterns of MTU and identified factors associated with MTU among a cohort of PWID. Data were collected through a longitudinal cohort study examining drug use, risk behaviors, and health status among PWID in San Diego, California. Latent class analysis (LCA) was used to define patterns of MTU (i.e., making voice calls, text messaging, and mobile Internet access). Multinomial logistic regression was then used to identify demographic characteristics, risk behaviors, and health indicators associated with mobile technology use class. In LCA, a 4-class solution fit the data best. Class 1 was defined by low MTU (22%, n = 100); class 2, by PWID who accessed the Internet using a mobile device but did not use voice or text messaging (20%, n = 95); class 3, by primarily voice, text, and connected Internet use (17%, n = 91); and class 4, by high MTU (41%, n = 175). Compared with low MTU, high MTU class members were more likely to be younger, have higher socioeconomic status, sell drugs, and inject methamphetamine daily. The majority of PWID in San Diego use mobile technology for voice, text, and/or Internet access, indicating that rapid uptake of mHealth interventions may be possible in this population. However, low ownership and use of mobile technology among older and/or homeless individuals will need to be considered when implementing mHealth interventions among PWID.

"Peers, parents and phones"--Swedish adolescents and health promotion.

PubMed

Lindqvist, Anna-Karin; Kostenius, Catrine; Gard, Gunvor

2012-01-01

Many unhealthy behaviors are created during adolescence and follow the individual into adulthood. In addition, health behaviors often occur in clusters as those who are inactive are more likely to eat unhealthy food and smoke. This makes the early foundation of healthy behaviors vital. The aim was to describe and develop an understanding of adolescents' awareness and experiences concerning health promotion. Data was collected using focus groups with a total of 28 seventh graders and was analysed with latent qualitative content analysis. One main theme was identified; being competent, ambivalent and creative at the same time. The following three subthemes also emerged: being a digital native for better and for worse, knowing what is healthy, and sometimes doing it, and considering change and having ideas of how change could be supported. The main theme elucidates how the majority of students were informed and able but they did not always prioritize their health. The concept of health promotion relies upon the engagement of the individual; however, although the students had clear ideas about how they would like to change their own behaviors, they felt a need for support. Interestingly, the students were able to make several suggestions about the kind of support that would make a difference to their adoption to more healthy modes of living. They suggested information and communication technology (ICT), for example encouraging text messages (SMS), and social support, for example parents setting rules and peers inspiring them to adhere to a healthy behavior. The knowledge gained from this study echoes our view of inclusion and this could be helpful for those who encounter the challenge of promoting health among adolescents.

Airpower in Hybrid War: Ethical Implications for the Joint Force Commander

DTIC Science & Technology

2014-05-15

waging war) aspect of just war theory . 13 In light of the issue, the spirit of US acquisition is one that historically and presently puts...by the NWC or the Department of the Navy. 14. ABSTRACT In the foreseeable future, the United States ( US ) will likely find itself engaged in hybrid...behaviors. Moreover, political risk aversion, coupled with the perceived “sanitary” use of technologically advanced weapons systems, makes US airpower

Software Technology for Adaptable Reliable Systems (STARS) Workshop March 24-27 1986.

DTIC Science & Technology

1986-03-01

syntax is aug- monitor program behavior. Trace and mented to accept design notes in arbitrary single-step facilities will provide the capability ... capabilities of these worksta- inrs tions make them a logical choice for hosting The final component of Vise is the a visual development environment. We...the following When the user picks the desired action, capabilities : graphical program display and linguistic analysis is used to extract informa

The Ethics of Virtual Reality Technology: Social Hazards and Public Policy Recommendations.

PubMed

Spiegel, James S

2017-09-23

This article explores four major areas of moral concern regarding virtual reality (VR) technologies. First, VR poses potential mental health risks, including Depersonalization/Derealization Disorder. Second, VR technology raises serious concerns related to personal neglect of users' own actual bodies and real physical environments. Third, VR technologies may be used to record personal data which could be deployed in ways that threaten personal privacy and present a danger related to manipulation of users' beliefs, emotions, and behaviors. Finally, there are other moral and social risks associated with the way VR blurs the distinction between the real and illusory. These concerns regarding VR naturally raise questions about public policy. The article makes several recommendations for legal regulations of VR that together address each of the above concerns. It is argued that these regulations would not seriously threaten personal liberty but rather would protect and enhance the autonomy of VR consumers.

How should support for climate-friendly technologies be designed?

PubMed

Fischer, Carolyn; Torvanger, Asbjørn; Shrivastava, Manish Kumar; Sterner, Thomas; Stigson, Peter

2012-01-01

Stabilizing global greenhouse gas concentrations at levels to avoid significant climate risks will require massive "decarbonization" of all the major economies over the next few decades, in addition to the reduced emissions from other GHGs and carbon sequestration. Achieving the necessary scale of emissions reductions will require a multifaceted policy effort to support a broad array of technological and behavioral changes. Change on this scale will require sound, well-thought-out strategies. In this article, we outline some core principles, drawn from recent social science research, for guiding the design of clean technology policies, with a focus on energy. The market should be encouraged to make good choices: pricing carbon emissions and other environmental damage, removing distorting subsidies and barriers to competition, and supporting RD&D broadly. More specific policies are required to address particular market failures and barriers. For those technologies identified as being particularly desirable, some narrower RD&D policies are available.

Technology-Based Interventions for Asthma-Can They Help Decrease Health Disparities?

PubMed

Baptist, Alan P; Islam, Nishat; Joseph, Christine L M

Asthma is a condition that has consistently demonstrated significant health outcome inequalities for minority populations. One approach used for care of patients with asthma is the incorporation of technology for behavioral modification, symptom monitoring, education, and/or treatment decision making. Whether such technological interventions can improve the care of black and inner-city patients is unknown. We reviewed all randomized controlled trial technological interventions from 2000 to 2015 performed in minority populations. A total of 16 articles met inclusion and exclusion criteria; all but 1 was performed in a childhood or adolescent age group. The interventions used MPEG audio layer-3 players, text messaging, computer/Web-based systems, video games, and interactive voice response. Many used tailored content and/or a specific behavior theory. Although the interventions were based on technology, most required additional special staffing. Subject user satisfaction was positive, and improvements were noted in asthma knowledge, medication adherence, asthma symptoms, and quality of life. Unfortunately, health care utilization (emergency department visits and/or hospitalizations) was typically not improved by the interventions. Although no single intervention modality was vastly superior, the computer-based interventions appeared to have the most positive results. In summary, technology-based interventions have a high level of user satisfaction among minority and urban/low-income individuals with asthma, and can improve asthma outcomes. Further large-scale studies are needed to assess whether such interventions can decrease health disparities in asthma. Copyright © 2016 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

“It sounds like…”: A Natural Language Processing Approach to Detecting Counselor Reflections in Motivational Interviewing

PubMed Central

Can, Doğan; Marín, Rebeca A.; Georgiou, Panayiotis G.; Imel, Zac E.; Atkins, David C.; Narayanan, Shrikanth S.

2016-01-01

The dissemination and evaluation of evidence based behavioral treatments for substance abuse problems rely on the evaluation of counselor interventions. In Motivational Interviewing (MI), a treatment that directs the therapist to utilize a particular linguistic style, proficiency is assessed via behavioral coding - a time consuming, non-technological approach. Natural language processing techniques have the potential to scale up the evaluation of behavioral treatments like MI. We present a novel computational approach to assessing components of MI, focusing on one specific counselor behavior – reflections – that are believed to be a critical MI ingredient. Using 57 sessions from 3 MI clinical trials, we automatically detected counselor reflections in a Maximum Entropy Markov Modeling framework using the raw linguistic data derived from session transcripts. We achieved 93% recall, 90% specificity, and 73% precision. Results provide insight into the linguistic information used by coders to make ratings and demonstrate the feasibility of new computational approaches to scaling up the evaluation of behavioral treatments. PMID:26784286

Modeling human behaviors and reactions under dangerous environment.

PubMed

Kang, J; Wright, D K; Qin, S F; Zhao, Y

2005-01-01

This paper describes the framework of a real-time simulation system to model human behavior and reactions in dangerous environments. The system utilizes the latest 3D computer animation techniques, combined with artificial intelligence, robotics and psychology, to model human behavior, reactions and decision making under expected/unexpected dangers in real-time in virtual environments. The development of the system includes: classification on the conscious/subconscious behaviors and reactions of different people; capturing different motion postures by the Eagle Digital System; establishing 3D character animation models; establishing 3D models for the scene; planning the scenario and the contents; and programming within Virtools Dev. Programming within Virtools Dev is subdivided into modeling dangerous events, modeling character's perceptions, modeling character's decision making, modeling character's movements, modeling character's interaction with environment and setting up the virtual cameras. The real-time simulation of human reactions in hazardous environments is invaluable in military defense, fire escape, rescue operation planning, traffic safety studies, and safety planning in chemical factories, the design of buildings, airplanes, ships and trains. Currently, human motion modeling can be realized through established technology, whereas to integrate perception and intelligence into virtual human's motion is still a huge undertaking. The challenges here are the synchronization of motion and intelligence, the accurate modeling of human's vision, smell, touch and hearing, the diversity and effects of emotion and personality in decision making. There are three types of software platforms which could be employed to realize the motion and intelligence within one system, and their advantages and disadvantages are discussed.

Recommendations for the role of social science research in One Health.

PubMed

Lapinski, Maria Knight; Funk, Julie A; Moccia, Lauren T

2015-03-01

The social environment has changed rapidly as technology has facilitated communication among individuals and groups in ways not imagined 20 years ago. Communication technology increasingly plays a role in decision-making about health and environmental behaviors and is being leveraged to influence that process. But at its root is the fundamental need to understand human cognition, communication, and behavior. The concept of 'One Health' has emerged as a framework for interdisciplinary work that cuts across human, animal, and ecosystem health in recognition of their interdependence and the value of an integrated perspective. Yet, the science of communication, information studies, social psychology, and other social sciences have remained marginalized in this emergence. Based on an interdisciplinary collaboration, this paper reports on a nascent conceptual framework for the role of social science in 'One Health' issues and identifies a series of recommendations for research directions that bear additional scrutiny and development. Copyright © 2014 Elsevier Ltd. All rights reserved.

Ion chambers compliance results of Brazilian radiation therapy facilities.

PubMed

Joana, G; Salata, C; Leal, P; Vasconcelos, R; Couto, N do; Teixeira, F C; Soares, A D; Santini, E S; Gonçalves, M

2018-03-01

The Brazilian Nuclear Energy Commission (cnen) has been making a constant effort to keep up to date with international standards and national needs to strengthen the status of radiological protection of the country. The guidelines related to radiation therapy facilities have been revised in the last five years in order to take into consideration the most relevant aspects of the growing technology as well as to mitigate the accidents or incidents observed in practice. Hence, clinical dosimeters have gained special importance in this matter. In the present work, we discuss the effectiveness of regulation and inspections to the enforcement of instrument calibration accuracy for the improvement of patient dosimetry and quality control. As a result, we observed that the number of calibrated instruments, mainly well chambers, is increasing each year. The same behavior is observed for instruments employed in technologically advanced radiation treatments such as intensity modulated radiotherapy, volumetric therapy and stereotatic radiosurgery. We ascribe this behavior to the new regulation.

Advances in Scientific Possibilities Offered by Real-Time Monitoring Technology.

PubMed

Kleiman, Evan M; Nock, Matthew K

2017-01-01

There has been a marked increase in research aimed at studying dynamic (e.g., day-to-day, moment-to-moment) changes in mental disorders and related behavior problems. Indeed, the number of scientific papers published that focus on real-time monitoring has been nearly doubling every five years for the past several decades. These methods allow for a more fine-grained description of phenomena of interest as well as for real-world tests of theoretical models of human behavior. Here we comment on the recent study by van Winkel and colleagues (this issue)as an excellent example of the use of real-time monitoring methods to better understand mental disorders. We also discuss the expanding universe of new technologies (e.g., smartphones, wearable biosensors) that can be used to make discoveries about psychopathology and related constructs and describe what we perceive to be some of the most exciting scientific possibilities that can be achieved in the near term by taking advantage of these new and rapidly developing tools.

Smart learning services based on smart cloud computing.

PubMed

Kim, Svetlana; Song, Su-Mi; Yoon, Yong-Ik

2011-01-01

Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user's behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)--smart pull, smart prospect, smart content, and smart push--concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users' needs by collecting and analyzing users' behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users' behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users.

Smart Learning Services Based on Smart Cloud Computing

PubMed Central

Kim, Svetlana; Song, Su-Mi; Yoon, Yong-Ik

2011-01-01

Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)—smart pull, smart prospect, smart content, and smart push—concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users’ needs by collecting and analyzing users’ behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users’ behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users. PMID:22164048

Student decision making in large group discussion

NASA Astrophysics Data System (ADS)

Kustusch, Mary Bridget; Ptak, Corey; Sayre, Eleanor C.; Franklin, Scott V.

2015-04-01

It is increasingly common in physics classes for students to work together to solve problems and perform laboratory experiments. When students work together, they need to negotiate the roles and decision making within the group. We examine how a large group of students negotiates authority as part of their two week summer College Readiness Program at Rochester Institute of Technology. The program is designed to develop metacognitive skills in first generation and Deaf and hard-of-hearing (DHH) STEM undergraduates through cooperative group work, laboratory experimentation, and explicit reflection exercises. On the first full day of the program, the students collaboratively developed a sign for the word ``metacognition'' for which there is not a sign in American Sign Language. This presentation will focus on three aspects of the ensuing discussion: (1) how the instructor communicated expectations about decision making; (2) how the instructor promoted student-driven decision making rather than instructor-driven policy; and (3) one student's shifts in decision making behavior. We conclude by discussing implications of this research for activity-based physics instruction.

Agent-based modeling in ecological economics.

PubMed

Heckbert, Scott; Baynes, Tim; Reeson, Andrew

2010-01-01

Interconnected social and environmental systems are the domain of ecological economics, and models can be used to explore feedbacks and adaptations inherent in these systems. Agent-based modeling (ABM) represents autonomous entities, each with dynamic behavior and heterogeneous characteristics. Agents interact with each other and their environment, resulting in emergent outcomes at the macroscale that can be used to quantitatively analyze complex systems. ABM is contributing to research questions in ecological economics in the areas of natural resource management and land-use change, urban systems modeling, market dynamics, changes in consumer attitudes, innovation, and diffusion of technology and management practices, commons dilemmas and self-governance, and psychological aspects to human decision making and behavior change. Frontiers for ABM research in ecological economics involve advancing the empirical calibration and validation of models through mixed methods, including surveys, interviews, participatory modeling, and, notably, experimental economics to test specific decision-making hypotheses. Linking ABM with other modeling techniques at the level of emergent properties will further advance efforts to understand dynamics of social-environmental systems.

Context-Enabled Business Intelligence

DOE Office of Scientific and Technical Information (OSTI.GOV)

Troy Hiltbrand

To truly understand context and apply it in business intelligence, it is vital to understand what context is and how it can be applied in addressing organizational needs. Context describes the facets of the environment that impact the way that end users interact with the system. Context includes aspects of location, chronology, access method, demographics, social influence/ relationships, end-user attitude/ emotional state, behavior/ past behavior, and presence. To be successful in making Business Intelligence content enabled, it is important to be able to capture the context of use user. With advances in technology, there are a number of ways inmore » which this user based information can be gathered and exposed to enhance the overall end user experience.« less

Harnessing information and communication technologies to leverage scarce resources for cancer education, research and practice in developing countries

PubMed Central

Andela, Valentine B

2006-01-01

In developing countries, low levels of awareness, cost and organizational constraints on access to specialized care contribute to inadequate patient help-seeking behavior. As much as 95% of cancer patients in developing countries are diagnosed at late to end stage disease. Consequently, treatment outcome is dismally poor and a vicious cycle sets in, with public mystification of cancer and the admonishment of cancer medicine as a futile effort, all, to the further detriment of patient help-seeking behavior and treatment engagement. The situation spirals down, when the practice of cancer medicine is not gratifying to the medical practitioner and does not appeal as a medical specialty to those in training. The future of cancer medicine in developing countries thus hinges on the demystification of cancer through positive information, coupled to an effective organization that allows for the optimal use of available resources, facilitates access to specialized care and promotes the flow of knowledge and technology amongst various stakeholders. This paper strives to make a cogent argument and highlight the capital importance of information and communication technologies in organizing and leveraging scarce resources for cancer education, research and practice in developing countries. PMID:16390555

A review of mild traumatic brain injury diagnostics: current perspectives, limitations, and emerging technology.

PubMed

Cook, Glen A; Hawley, Jason S

2014-10-01

Mild traumatic brain injury (mTBI) or concussion is a common battlefield and in-garrison injury caused by transmission of mechanical forces to the head. The energy transferred in such events can cause structural and/or functional changes in the brain that manifest as focal neurological, cognitive, or behavioral dysfunction. Current diagnostic criteria for mTBI are highly limited, variable, and based on subjective self-report. The subjective nature of the symptoms, both in quantity and quality, together with their large overlap in other physical and behavioral maladies, limit the clinician's ability to accurately diagnose, treat, and make prognostic decisions after such injuries. These diagnostic challenges are magnified in an operational environment as well. The Department of Defense has invested significant resources into improving the diagnostic tools and accuracy for mTBI. This focus has been to supplement the clinician's examination with technology that is better able to objectify brain dysfunction after mTBI. Through this review, we discuss the current state of three promising technologies--soluble protein biomarkers, advanced neuroimaging, and quantitative electroencephalography--that are of particular interest within military medicine. Reprint & Copyright © 2014 Association of Military Surgeons of the U.S.

Use of BRFSS data and GIS technology for rapid public health response during natural disasters.

PubMed

Holt, James B; Mokdad, Ali H; Ford, Earl S; Simoes, Eduardo J; Mensah, George A; Bartoli, William P

2008-07-01

Having information about preexisting chronic diseases and available public health assets is critical to ensuring an adequate public health response to natural disasters and acts of terrorism. We describe a method to derive this information using a combination of data from the Behavioral Risk Factor Surveillance System and geographic information systems (GIS) technology. Our demonstration focuses on counties in states that are within 100 miles of the Gulf of Mexico and the Atlantic Ocean coastlines. To illustrate the flexible nature of planning made possible through the interactive use of a GIS, we use a hypothetical scenario of a hurricane making landfall in Myrtle Beach, South Carolina.

Leadership of risk decision making in a complex, technology organization: The deliberative decision making model

NASA Astrophysics Data System (ADS)

Flaming, Susan C.

2007-12-01

The continuing saga of satellite technology development is as much a story of successful risk management as of innovative engineering. How do program leaders on complex, technology projects manage high stakes risks that threaten business success and satellite performance? This grounded theory study of risk decision making portrays decision leadership practices at one communication satellite company. Integrated product team (IPT) leaders of multi-million dollar programs were interviewed and observed to develop an extensive description of the leadership skills required to navigate organizational influences and drive challenging risk decisions to closure. Based on the study's findings the researcher proposes a new decision making model, Deliberative Decision Making, to describe the program leaders' cognitive and organizational leadership practices. This Deliberative Model extends the insights of prominent decision making models including the rational (or classical) and the naturalistic and qualifies claims made by bounded rationality theory. The Deliberative Model describes how leaders proactively engage resources to play a variety of decision leadership roles. The Model incorporates six distinct types of leadership decision activities, undertaken in varying sequence based on the challenges posed by specific risks. Novel features of the Deliberative Decision Model include: an inventory of leadership methods for managing task challenges, potential stakeholder bias and debates; four types of leadership meta-decisions that guide decision processes, and aligned organizational culture. Both supporting and constraining organizational influences were observed as leaders managed major risks, requiring active leadership on the most difficult decisions. Although the company's engineering culture emphasized the importance of data-based decisions, the uncertainties intrinsic to satellite risks required expert engineering judgment to be exercised throughout. An investigation into the co-variation of decision methods with uncertainty suggests that perceived risk severity may serve as a robust indicator for choices about decision practices. The Deliberative Decision processes incorporate multiple organizational and cultural controls as cross-checks to mitigate potential parochial bias of individuals, stakeholder groups, or leaders. Overall the Deliberative Decision framework describes how expert leadership practices, supportive organizational systems along with aligned cultural values and behavioral norms help leaders drive high stakes risk decisions to closure in this complex, advanced-technology setting.

A Cyber Federal Deposit Insurance Corporation Achieving Enhanced National Security

DTIC Science & Technology

2017-12-21

cure-all. Most of the best practices around cybersecurity are entirely free and based more on education and behavioral hygiene than on technological...uncomfortable for most countries around the world, whose lead- ers have often profited handsomely in money or longevity from the opacity and byzantine...Disparte, “ Free , Fair and (Mostly) Unfettered,” International Policy Digest, November 16, 2016. 6 Phil Wahba, “Amazon Will Make Up 50% of All U.S. E

Discrepant feeling rules and unscripted emotion work: women coping with termination for fetal anomaly.

PubMed

McCoyd, Judith L M

2009-10-01

The sociology of emotion is rapidly evolving and has implications for medical settings. Advancing medical technologies create new contexts for decision-making and emotional reaction that are framed by "feeling rules." Feeling rules guide not only behavior, but also how one believes one should feel, thereby causing one to attempt to bring one's authentic feelings into line with perceived feeling rules. Using qualitative data, the theoretical existence of feeling rules in pregnancy and prenatal testing is confirmed. Further examination extends this analysis: at times of technological development feeling rules are often discrepant, leaving patients with unscripted emotion work. Data from a study of women who interrupted anomalous pregnancies indicate that feeling rules are unclear when competing feeling rules are operating during times of societal and technological change. Because much of this occurs below the level of consciousness, medical and psychological services providers need to be aware of potential discrepancies in feeling rules and assist patients in identifying the salient feeling rules. Patients' struggles ease when they can recognize the discrepancies and assess their implications for decision-making and emotional response. (c) 2009 APA, all rights reserved.

BEHAVIORAL TECHNOLOGY AND MANPOWER DEVELOPMENT.

ERIC Educational Resources Information Center

COOK, DONALD A.; MECHNER, FRANCIS

A BRIEF HISTORIC SURVEY WHICH PLACES PROGRAMED INSTRUCTION IN THE PROPER PERSPECTIVE RELATIVE TO BEHAVIORAL TECHNOLOGY AS A WHOLE IS PRESENTED. BEHAVIORAL TECHNOLOGY IS THE APPLICATION OF LEARNING THEORY TO PRACTICAL PROBLEMS OF TRAINING AND EDUCATION. THE APPLICATION OF BEHAVIORAL TECHNOLOGY TO THE TEACHING OF CERTAIN VERBAL AND INTELLECTUAL…

Strategies and methods for aligning current and best medical practices. The role of information technologies.

PubMed

Schneider, E C; Eisenberg, J M

1998-05-01

Rapid change in American medicine requires that physicians adjust established behaviors and acquire new skills. In this article, we address three questions: What do we know about how to change physicians' practices? How can physicians take advantage of new and evolving information technologies that are likely to have an impact on the future practice of medicine? and What strategic educational interventions will best enable physicians to show competencies in information management and readiness to change practice? We outline four guiding principles for incorporating information systems tools into both medical education and practice, and we make eight recommendations for the development of a new medical school curriculum. This curriculum will produce a future medical practitioner who is capable of using information technologies to systematically measure practice performance, appropriateness, and effectiveness while updating knowledge efficiently.

Automated personalized feedback for physical activity and dietary behavior change with mobile phones: a randomized controlled trial on adults.

PubMed

Rabbi, Mashfiqui; Pfammatter, Angela; Zhang, Mi; Spring, Bonnie; Choudhury, Tanzeem

2015-05-14

A dramatic rise in health-tracking apps for mobile phones has occurred recently. Rich user interfaces make manual logging of users' behaviors easier and more pleasant, and sensors make tracking effortless. To date, however, feedback technologies have been limited to providing overall statistics, attractive visualization of tracked data, or simple tailoring based on age, gender, and overall calorie or activity information. There are a lack of systems that can perform automated translation of behavioral data into specific actionable suggestions that promote healthier lifestyle without any human involvement. MyBehavior, a mobile phone app, was designed to process tracked physical activity and eating behavior data in order to provide personalized, actionable, low-effort suggestions that are contextualized to the user's environment and previous behavior. This study investigated the technical feasibility of implementing an automated feedback system, the impact of the suggestions on user physical activity and eating behavior, and user perceptions of the automatically generated suggestions. MyBehavior was designed to (1) use a combination of automatic and manual logging to track physical activity (eg, walking, running, gym), user location, and food, (2) automatically analyze activity and food logs to identify frequent and nonfrequent behaviors, and (3) use a standard machine-learning, decision-making algorithm, called multi-armed bandit (MAB), to generate personalized suggestions that ask users to either continue, avoid, or make small changes to existing behaviors to help users reach behavioral goals. We enrolled 17 participants, all motivated to self-monitor and improve their fitness, in a pilot study of MyBehavior. In a randomized two-group trial, investigators randomly assigned participants to receive either MyBehavior's personalized suggestions (n=9) or nonpersonalized suggestions (n=8), created by professionals, from a mobile phone app over 3 weeks. Daily activity level and dietary intake was monitored from logged data. At the end of the study, an in-person survey was conducted that asked users to subjectively rate their intention to follow MyBehavior suggestions. In qualitative daily diary, interview, and survey data, users reported MyBehavior suggestions to be highly actionable and stated that they intended to follow the suggestions. MyBehavior users walked significantly more than the control group over the 3 weeks of the study (P=.05). Although some MyBehavior users chose lower-calorie foods, the between-group difference was not significant (P=.15). In a poststudy survey, users rated MyBehavior's personalized suggestions more positively than the nonpersonalized, generic suggestions created by professionals (P<.001). MyBehavior is a simple-to-use mobile phone app with preliminary evidence of efficacy. To the best of our knowledge, MyBehavior represents the first attempt to create personalized, contextualized, actionable suggestions automatically from self-tracked information (ie, manual food logging and automatic tracking of activity). Lessons learned about the difficulty of manual logging and usability concerns, as well as future directions, are discussed. ClinicalTrials.gov NCT02359981; https://clinicaltrials.gov/ct2/show/NCT02359981 (Archived by WebCite at http://www.webcitation.org/6YCeoN8nv).

Holidays in lights: Tracking cultural patterns in demand for energy services

NASA Astrophysics Data System (ADS)

Román, Miguel O.; Stokes, Eleanor C.

2015-06-01

Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

Holiday in Lights: Tracking Cultural Patterns in Demand for Energy Services

NASA Technical Reports Server (NTRS)

Roman, Miguel O.; Stokes, Eleanor C.

2015-01-01

Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

Holidays in lights: Tracking cultural patterns in demand for energy services.

PubMed

Román, Miguel O; Stokes, Eleanor C

2015-06-01

Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

Jordan Water Project: an interdisciplinary evaluation of freshwater vulnerability and security

NASA Astrophysics Data System (ADS)

Gorelick, S.; Yoon, J.; Rajsekhar, D.; Muller, M. F.; Zhang, H.; Gawel, E.; Klauer, B.; Klassert, C. J. A.; Sigel, K.; Thilmant, A.; Avisse, N.; Lachaut, T.; Harou, J. J.; Knox, S.; Selby, P. D.; Mustafa, D.; Talozi, S.; Haddad, Y.; Shamekh, M.

2016-12-01

The Jordan Water Project, part of the Belmont Forum projects, is an interdisciplinary, international research effort focused on evaluation of freshwater security in Jordan, one of the most water-vulnerable countries in the world. The team covers hydrology, water resources systems analysis, economics, policy evaluation, geography, risk and remote sensing analyses, and model platform development. The entire project team communally engaged in construction of an integrated hydroeconomic model for water supply policy evaluation. To represent water demand and allocation behavior at multiple levels of decision making,the model integrates biophysical modules that simulate natural and engineered hydrologic phenomena with human behavioral modules. Hydrologic modules include spatially-distributed groundwater and surface-water models for the major aquifers and watersheds throughout Jordan. For the human modules, we adopt a multi-agent modeling approach to represent decision-making processes. The integrated model was developed in Pynsim, a new open-source, object-oriented platform in Python for network-based water resource systems. We continue to explore the impacts of future scenarios and interventions.This project had tremendous encouragement and data support from Jordan's Ministry of Water and Irrigation. Modeling technology is being transferred through a companion NSF/USAID PEER project awarded toJordan University of Science and Technology. Individual teams have also conducted a range of studies aimed at evaluating Jordanian and transboundary surface water and groundwater systems. Surveys, interviews, and econometric analyses enabled us to better understandthe behavior of urban households, farmers, private water resellers, water use pattern of the commercial sector and irrigation water user associations. We analyzed nationwide spatial and temporal statistical trends in rainfall, developed urban and national comparative metrics to quantify water supply vulnerability, improved remote sensing methods to estimate crop-water use, and evaluated the impacts of climate change on future drought severity.

Communication technology use and mHealth acceptance among HIV-infected men who have sex with men in Peru: implications for HIV prevention and treatment.

PubMed

Krishnan, Archana; Ferro, Enrico G; Weikum, Damian; Vagenas, Panagiotis; Lama, Javier R; Sanchez, Jorge; Altice, Frederick L

2015-01-01

The HIV epidemic in Peru is concentrated among men who have sex with men (MSM). Given that MSM have been documented as early adopters of emerging technology, we examined communication technology access and utilization, and mobile health (mHealth) acceptance among Peruvian MSM and transgender women (TGW) in order to gauge opportunities for mHealth-enabled HIV interventions. A convenience sample of 359 HIV-infected MSM and TGW recruited from three sites in Lima, Peru completed standardized assessments of alcohol use disorders (AUDs), risky sexual behavior, and antiretroviral therapy (ART) adherence along with self-constructed measures of communication technology access and utilization, and mHealth acceptance. Most participants (86%) had daily access to any cell phone, including smartphones (30%). The most frequent communication activities were receiving and making calls, and receiving and sending text messages using cell phones. On a 5-point Likert scale, participants expressed interest in using mHealth for medication reminders (M = 3.21, SD = 1.32) and engaging in anonymous online interactions with health professionals to discuss HIV-related issues (M = 3.56, SD = 1.33). Importantly, no significant differences were found in communication technology use and mHealth acceptance among participants with AUDs, depression, and suboptimal ART adherence, all of which are associated with poor HIV treatment outcomes. Findings show support for implementing mHealth-based intervention strategies using cell phones to assess and reduce HIV-risk behaviors among HIV-infected MSM and TGW.

Harnessing Vehicle-to-Pedestrian (V2P) Communication Technology: Sending Traffic Warnings to Texting Pedestrians.

PubMed

Rahimian, Pooya; O'Neal, Elizabeth E; Zhou, Shiwen; Plumert, Jodie M; Kearney, Joseph K

2018-06-01

We examined how sending mobile-device warnings to texting pedestrians when they initiate an unsafe road crossing influences their decisions and actions. Pedestrian texting has been identified as a key risk factor in pedestrian-vehicle collisions. Advances in sensing and communications technology offer the possibility of providing pedestrians with information about traffic conditions to assist them in safely crossing traffic-filled roadways. However, it is unclear how this information can be most effectively communicated to pedestrians. We examined how texting and nontexting pedestrians crossed roads with continuous traffic in a large-screen, immersive pedestrian simulator using a between-subjects design with three conditions: texting, warning, and control. Texting participants in the warning condition received an alarm on their cell phone when they began to cross a dangerously small gap. The results demonstrate the detrimental influence of texting on pedestrians' gap selection, movement timing, and gaze behavior, and show the potential of warnings to improve decision making and safety. However, the results also reveal the limits of warning texting participants once they initiate a crossing and possible overreliance on technology that may lead to reduced situation awareness. Mobile devices and short-range communication technologies offer enormous potential to assist pedestrians, but further study is needed to better understand how to provide useful information in a timely manner. The technology for communicating traffic information to pedestrians via mobile devices is on the horizon. Research on how such information influences all aspects of pedestrian behavior is critical to developing effective solutions.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stadler, Michael; Marnay, Chris; Azevedo, Ines Lima

The increasing concern about climate change as well as the expected direct environmental economic impacts of global warming will put considerable constraints on the US building sector, which consumes roughly 48percent of the total primary energy, making it the biggest single source of CO2 emissions. It is obvious that the battle against climate change can only be won by considering innovative building approaches and consumer behaviors and bringing new, effective low carbon technologies to the building / consumer market. However, the limited time given to mitigate climate change is unforgiving to misled research and / or policy. This is themore » reason why Lawrence Berkeley National Lab is working on an open source long range Stochastic Lite Building Module (SLBM) to estimate the impact of different policies and consumer behavior on the market penetration of low carbon building technologies. SLBM is designed to be a fast running, user-friendly model that analysts can readily run and modify in its entirety through a visual interface. The tool is fundamentally an engineering-economic model with technology adoption decisions based on cost and energy performance characteristics of competing technologies. It also incorporates consumer preferences and passive building systems as well as interactions between technologies (such as internal heat gains). Furthermore, everything is based on service demand, e.g. a certain temperature or luminous intensity, instead of energy intensities. The core objectives of this paper are to demonstrate the practical approach used, to start a discussion process between relevant stakeholders and to build collaborations.« less

Improving yield and reliability of FIB modifications using electrical testing

NASA Astrophysics Data System (ADS)

Desplats, Romain; Benbrik, Jamel; Benteo, Bruno; Perdu, Philippe

1998-08-01

Focused Ion Beam technology has two main areas of application for ICs: modification and preparation for technological analysis. The most solicited area is modification. This involves physically modifying a circuit by cutting lines and creating new ones in order to change the electrical function of the circuit. IC planar technologies have an increasing number of metal interconnections making FIB modifications more complex and decreasing their changes of success. The yield of FIB operations on ICs reflects a downward trend that imposes a greater number of circuits to be modified in order to successfully correct a small number of them. This requires extended duration, which is not compatible with production line turn around times. To respond to this problem, two solutions can be defined: either, reducing the duration of each FIB operation or increasing the success rate of FIB modifications. Since reducing the time depends mainly on FIB operator experience, insuring a higher success rate represents a more crucial aspect as both experienced and novice operators could benefit from this improvement. In order to insure successful modifications, it is necessary to control each step of a FIB operation. To do this, we have developed a new method using in situ electrical testing which has a direct impact on the yield of FIB modifications. We will present this innovative development through a real case study of a CMOS ASIC for high-speed communications. Monitoring the electrical behavior at each step in a FIB operation makes it possible to reduce the number of circuits to be modified and consequently reduces system costs thanks to better yield control. Knowing the internal electrical behavior also gives us indications about the impact on reliability of FIB modified circuits. Finally, this approach can be applied to failure analysis and FIB operations on flip chip circuits.

Is smartphone addiction really an addiction?

PubMed

Panova, Tayana; Carbonell, Xavier

2018-06-13

Aims In light of the rise in research on technological addictions and smartphone addiction in particular, the aim of this paper was to review the relevant literature on the topic of smartphone addiction and determine whether this disorder exists or if it does not adequately satisfy the criteria for addiction. Methods We reviewed quantitative and qualitative studies on smartphone addiction and analyzed their methods and conclusions to make a determination on the suitability of the diagnosis "addiction" to excessive and problematic smartphone use. Results Although the majority of research in the field declares that smartphones are addictive or takes the existence of smartphone addiction as granted, we did not find sufficient support from the addiction perspective to confirm the existence of smartphone addiction at this time. The behaviors observed in the research could be better labeled as problematic or maladaptive smartphone use and their consequences do not meet the severity levels of those caused by addiction. Discussion and conclusions Addiction is a disorder with severe effects on physical and psychological health. A behavior may have a similar presentation as addiction in terms of excessive use, impulse control problems, and negative consequences, but that does not mean that it should be considered an addiction. We propose moving away from the addiction framework when studying technological behaviors and using other terms such as "problematic use" to describe them. We recommend that problematic technology use is to be studied in its sociocultural context with an increased focus on its compensatory functions, motivations, and gratifications.

The Use of the STAGS Finite Element Code in Stitched Structures Development

NASA Technical Reports Server (NTRS)

Jegley, Dawn C.; Lovejoy, Andrew E.

2014-01-01

In the last 30 years NASA has worked in collaboration with industry to develop enabling technologies needed to make aircraft more fuel-efficient and more affordable. The focus on the airframe has been to reduce weight, improve damage tolerance and better understand structural behavior under realistic flight and ground loading conditions. Stitched structure is a technology that can address the weight savings, cost reduction, and damage tolerance goals, but only if it is supported by accurate analytical techniques. Development of stitched technology began in the 1990's as a partnership between NASA and Boeing (McDonnell Douglas at the time) under the Advanced Composites Technology Program and has continued under various titles and programs and into the Environmentally Responsible Aviation Project today. These programs contained development efforts involving manufacturing development, design, detailed analysis, and testing. Each phase of development, from coupons to large aircraft components was supported by detailed analysis to prove that the behavior of these structures was well-understood and predictable. The Structural Analysis of General Shells (STAGS) computer code was a critical tool used in the development of many stitched structures. As a key developer of STAGS, Charles Rankin's contribution to the programs was quite significant. Key features of STAGS used in these analyses and discussed in this paper include its accurate nonlinear and post-buckling capabilities, its ability to predict damage growth, and the use of Lagrange constraints and follower forces.

Using Technology to Expand and Enhance Applied Behavioral Analysis Programs for Children with Autism in Military Families

DTIC Science & Technology

2012-07-01

modification, we changed the script such that the confederate not only exhibits the target skills but also a range of challenging responses that may make...implementation of the target skills more difficult. By including these challenging responses during the role-plays, the parents and tutors are...that may be recommended during the installation. d. VLC Player: i. Open the VLC installer. Under installation type select “recommended.” e. K-Lite

The Frozen Lake: A Physical Model Using Calculator-Based Laboratory Technology

NASA Astrophysics Data System (ADS)

Soletta, Isabella; Branca, Mario

2005-04-01

We have created laboratory conditions similar to those present in a lake when the external temperature falls below 0°C. Glaciation in lakes is described in school textbooks and classroom demonstrations.1,2 It is pointed out how the anomalous behavior of water, which reaches maximum density at about 4°C,3 makes life possible on Earth. The proposed model thus describes a physical system that, apart from being of interest in itself, is relevant to the study of biological mechanisms.

Designing for psychological change: individuals' reward and cost valuations in weight management.

PubMed

Hsu, Anne; Blandford, Ann

2014-06-26

Knowledge of the psychological constructs that underlie behavior offers valuable design opportunities for persuasive systems. We use the decision theory, which describes how behavior is underpinned by reward-cost valuations, as a framework for investigating such psychological constructs to deliver design objectives for weight management technologies. We applied a decision theory-based analysis in the domain of weight management to understand the rewards and costs that surround individuals' weight management behaviors, with the aim of uncovering design opportunities for weight management technologies. We conducted qualitative interviews with 15 participants who were or had been trying to lose weight. Thematic analysis was used to extract themes that covered the rewards and costs surrounding weight management behaviors. We supplemented our qualitative study with a quantitative survey of 100 respondents investigating the extent to which they agreed with statements reflecting themes from the qualitative study. The primary obstacles to weight management were the rewards associated with unhealthy choices, such as the pleasures of unhealthy foods and unrestricted consumption in social situations, and the significant efforts required to change habits, plan, and exercise. Psychological constructs that supported positive weight management included feeling good after making healthy choices, being good to oneself, experiencing healthy yet still delicious foods, and receiving social support and encouraging messages (although opinions about encouraging messages was mixed). A rewards-costs driven enquiry revealed a wide range of psychological constructs that contribute to discouraging and supporting weight management. The constructs extracted from our qualitative study were verified by our quantitative survey, in which the majority of respondents also reported similar thoughts and feelings. This understanding of the rewards and costs surrounding weight management offers a range of new opportunities for the design of weight management technologies that enhance the encouraging factors and alleviate the discouraging ones.

Internet messenger based smart virtual class learning using ubiquitous computing

NASA Astrophysics Data System (ADS)

Umam, K.; Mardi, S. N. S.; Hariadi, M.

2017-06-01

Internet messenger (IM) has become an important educational technology component in college education, IM makes it possible for students to engage in learning and collaborating at smart virtual class learning (SVCL) using ubiquitous computing. However, the model of IM-based smart virtual class learning using ubiquitous computing and empirical evidence that would favor a broad application to improve engagement and behavior are still limited. In addition, the expectation that IM based SVCL using ubiquitous computing could improve engagement and behavior on smart class cannot be confirmed because the majority of the reviewed studies followed instructions paradigms. This article aims to present the model of IM-based SVCL using ubiquitous computing and showing learners’ experiences in improved engagement and behavior for learner-learner and learner-lecturer interactions. The method applied in this paper includes design process and quantitative analysis techniques, with the purpose of identifying scenarios of ubiquitous computing and realize the impressions of learners and lecturers about engagement and behavior aspect and its contribution to learning

How behavioral science can advance digital health.

PubMed

Pagoto, Sherry; Bennett, Gary G

2013-09-01

The field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system.

Grand Research Plan for Neural Circuits of Emotion and Memory--current status of neural circuit studies in China.

PubMed

Zhu, Yuan-Gui; Cao, He-Qi; Dong, Er-Dan

2013-02-01

During recent years, major advances have been made in neuroscience, i.e., asynchronous release, three-dimensional structural data sets, saliency maps, magnesium in brain research, and new functional roles of long non-coding RNAs. Especially, the development of optogenetic technology provides access to important information about relevant neural circuits by allowing the activation of specific neurons in awake mammals and directly observing the resulting behavior. The Grand Research Plan for Neural Circuits of Emotion and Memory was launched by the National Natural Science Foundation of China. It takes emotion and memory as its main objects, making the best use of cutting-edge technologies from medical science, life science and information science. In this paper, we outline the current status of neural circuit studies in China and the technologies and methodologies being applied, as well as studies related to the impairments of emotion and memory. In this phase, we are making efforts to repair the current deficiencies by making adjustments, mainly involving four aspects of core scientific issues to investigate these circuits at multiple levels. Five research directions have been taken to solve important scientific problems while the Grand Research Plan is implemented. Future research into this area will be multimodal, incorporating a range of methods and sciences into each project. Addressing these issues will ensure a bright future, major discoveries, and a higher level of treatment for all affected by debilitating brain illnesses.

Surface effects and discontinuity behavior in nano-systems composed of Prussian blue analogues

NASA Astrophysics Data System (ADS)

Drissi, L. B.; Zriouel, S.; Bahmad, L.

2018-04-01

Magnetic properties and hysteresis loops of a nano-ferrimagnetic surface-bulk Prussian blue analogues (PBA) have been studied by means of Monte Carlo simulations. We have reported the effects of the magnetic and the crystal fields, as well as the intermediate and the bulk couplings, the temperature and the size on the phase diagram, the magnetization, the susceptibility, the hysteresis loops, the critical and the discontinuity temperatures of the model. The thermal dependence of the coercivity and the remanent magnetization are also discussed. This study shows a number of characteristic behaviors, such as the discontinuities in the magnetizations, the existence of Q- and N-types behaviors in the Néel classification nomenclature and the occurrence of single and triple hysteresis loops with high number of step-like plateaus. The obtained results make ferrimagnetic surface-bulk PBA useful for technological applications such as thermo-optical recording.

A Preliminary Investigation of User Perception and Behavioral Intention for Different Review Types: Customers and Designers Perspective

PubMed Central

Qazi, Atika; Waheed, Mahwish; Abraham, Ajith

2014-01-01

Existing opinion mining studies have focused on and explored only two types of reviews, that is, regular and comparative. There is a visible gap in determining the useful review types from customers and designers perspective. Based on Technology Acceptance Model (TAM) and statistical measures we examine users' perception about different review types and its effects in terms of behavioral intention towards using online review system. By using sample of users (N = 400) and designers (N = 106), current research work studies three review types, A (regular), B (comparative), and C (suggestive), which are related to perceived usefulness, perceived ease of use, and behavioral intention. The study reveals that positive perception of the use of suggestive reviews improves users' decision making in business intelligence. The results also depict that type C (suggestive reviews) could be considered a new useful review type in addition to other types, A and B. PMID:24711739

Characterization of Kentucky dairy producer decision-making behavior.

PubMed

Russell, R A; Bewley, J M

2013-07-01

To address dairy clientele needs, industry professionals need to understand how dairy producers make decisions. A survey was distributed to all licensed Kentucky milk producers (n=1,074) to better understand factors that influence dairy producer decisions. A total of 236 surveys were returned; 7 were omitted because they were incomplete, leaving 229 for subsequent analyses (21% response rate). The survey consisted of questions about dairy operational success criteria, decision evaluation criteria, information sources, and technology adoption. The mean response to each survey question was calculated after assigning the following numeric values to producer response categories: 1 = not important, 3 = important, 5 = very important. The most important source of influence or information in decision making was advice from consultants, nutritionists, and veterinarians (3.70±1.23), followed by consultation with business partners and family members (3.68±1.29), and intuition and gut feeling (3.10±1.45). Producers with large herds (≥200 cows) relied more heavily on information from consultants, nutritionists, and veterinarians and on employee input than did producers with small herds (1 to 49 cows). Producers with small herds did not use effect on employee morale as a criterion to evaluate decisions as much as those with larger herds did. In regard to adoption of automated monitoring technologies, producers indicated that modest adoption rates were a result of (1) not being familiar with technologies that are available (55%), (2) undesirable cost to benefit ratios (42%), and (3) too much information provided without knowing what to do with it (36%). As herd size increased, the percentage of producers selecting poor technical support and training and compatibility issues as reasons for slow adoption of automated technologies increased. This insight into dairy producer decision making should help industry professionals address dairy producer issues and concerns. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Hyperscanning: simultaneous fMRI during linked social interactions.

PubMed

Montague, P Read; Berns, Gregory S; Cohen, Jonathan D; McClure, Samuel M; Pagnoni, Giuseppe; Dhamala, Mukesh; Wiest, Michael C; Karpov, Igor; King, Richard D; Apple, Nathan; Fisher, Ronald E

2002-08-01

"Plain question and plain answer make the shortest road out of most perplexities." Mark Twain-Life on the Mississippi. A new methodology for the measurement of the neural substrates of human social interaction is described. This technology, termed "Hyperscan," embodies both the hardware and the software necessary to link magnetic resonance scanners through the internet. Hyperscanning allows for the performance of human behavioral experiments in which participants can interact with each other while functional MRI is acquired in synchrony with the behavioral interactions. Data are presented from a simple game of deception between pairs of subjects. Because people may interact both asymmetrically and asynchronously, both the design and the analysis must accommodate this added complexity. Several potential approaches are described.

Engineering management of large scale systems

NASA Technical Reports Server (NTRS)

Sanders, Serita; Gill, Tepper L.; Paul, Arthur S.

1989-01-01

The organization of high technology and engineering problem solving, has given rise to an emerging concept. Reasoning principles for integrating traditional engineering problem solving with system theory, management sciences, behavioral decision theory, and planning and design approaches can be incorporated into a methodological approach to solving problems with a long range perspective. Long range planning has a great potential to improve productivity by using a systematic and organized approach. Thus, efficiency and cost effectiveness are the driving forces in promoting the organization of engineering problems. Aspects of systems engineering that provide an understanding of management of large scale systems are broadly covered here. Due to the focus and application of research, other significant factors (e.g., human behavior, decision making, etc.) are not emphasized but are considered.

How maya women respond to changing technology : The effect of helping behavior on initiating reproduction.

PubMed

Kramer, K L; McMillan, G P

1998-06-01

In the mid 1970s labor-saving technology was introduced into a Maya subsistence agricultural community that markedly increased the efficiency with which maize could be ground and water collected. This increased efficiency introduces a possible savings in the time that women allocate to work, which can be reapportioned to child care, food production, domestic work, or leisure. An earlier study suggested that this labor-saving technology had a positive effect in decreasing the age at which these Maya women begin their reproductive careers. Although there is a statistical association between the age at which women bear their first child and the introduction of modern technology, this association does not demonstrate that the decline in age at first birth is causally related to the presence of technology. This paper pursues two objectives to evaluate this potential causal relationship in greater detail. First, a theory relating technological change to the initiation of a reproductive career is briefly developed in order to make qualitative predictions about behavioral changes as a response to changing technology. Second, these predictions are then tested against time allocation data recently collected in this same Maya community.We suggest that both of the conditions necessary to initiate reproduction-fecundity and access to mates-fundamentally depend on the amount of help that a girl provides to her family. Further, the help that a girl provides can be affected by technological changes. Analyses show that when modern technology is available, unmarried young women do not change the time allocated to domestic tasks and child care, and allocate more time to low-energy leisure activities. This lack of perceived benefit to working more and a potential concomitant shift towards a positive energy balance may in part explain why Maya women leave home and initiate reproduction at a younger age after labor-saving technology is introduced.

Results of a multi-media multiple behavior obesity prevention program for adolescents.

PubMed

Mauriello, Leanne M; Ciavatta, Mary Margaret H; Paiva, Andrea L; Sherman, Karen J; Castle, Patricia H; Johnson, Janet L; Prochaska, Janice M

2010-12-01

This study reports on effectiveness trial outcomes of Health in Motion, a computer tailored multiple behavior intervention for adolescents. Using school as level of assignment, students (n=1800) from eight high schools in four states (RI, TN, MA, and NY) were stratified and randomly assigned to no treatment or a multi-media intervention for physical activity, fruit and vegetable consumption, and limited TV viewing between 2006 and 2007. Intervention effects on continuous outcomes, on movement to action and maintenance stages, and on stability within action and maintenance stages were evaluated using random effects modeling. Effects were most pronounced for fruit and vegetable consumption and for total risks across all time points and for each behavior immediately post intervention. Co-variation of behavior change occurred within the treatment group, where individuals progressing to action or maintenance for one behavior were 1.4-4.2 times more likely to make similar progress on another behavior. Health in Motion is an innovative, multiple behavior obesity prevention intervention relevant for all adolescents that relies solely on interactive technology to deliver tailored feedback. The outcomes of the effectiveness trial demonstrate both an ability to initiate behavior change across multiple energy balance behaviors simultaneously and feasibility for ease of dissemination. Copyright © 2010 The Institute For Cancer Prevention. Published by Elsevier Inc. All rights reserved.

Fused deposition of ceramics: A comprehensive experimental, analytical and computational study of material behavior, fabrication process and equipment design

NASA Astrophysics Data System (ADS)

Bellini, Anna

Customer-driven product customization and continued demand for cost and time savings have generated a renewed interest in agile manufacturing based on improvements on Rapid Prototyping (RP) technologies. The advantages of RP technologies are: (1) ability to shorten the product design and development time, (2) suitability for automation and decrease in the level of human intervention, (3) ability to build many geometrically complex shapes. A shift from "prototyping" to "manufacturing" necessitates the following improvements: (1) Flexibility in choice of materials; (2) Part integrity and built-in characteristics to meet performance requirements; (3) Dimensional stability and tolerances; (4) Improved surface finish. A project funded by ONR has been undertaken to develop an agile manufacturing technology for fabrication of ceramic and multi-component parts to meet various needs of the Navy, such as transducers, etc. The project is based on adaptation of a layered manufacturing concept since the program required that the new technology be developed based on a commercially available RP technology. Among various RP technologies available today, Fused Deposition Modeling (FDM) has been identified as the focus of this research because of its potential versatility in the choice of materials and deposition configuration. This innovative approach allows for designing and implementing highly complex internal architectures into parts through deposition of different materials in a variety of configurations in such a way that the finished product exhibit characteristics to meet the performance requirements. This implies that, in principle, one can tailor-make the assemble of materials and structures as per specifications of an optimum design. The program objectives can be achieved only through accurate process modeling and modeling of material behavior. Oftentimes, process modeling is based on some type of computational approach where as modeling of material behavior is based on extensive experimental investigations. Studies are conducted in the following categories: (1) Flow modeling during extrusion and deposition; (2) Thermal modeling; (3) Flow control during deposition; (4) Product characterization and property determination for dimensional analysis; (5) Development of a novel technology based on a mini-extrusion system. Studies in each of these stages have involved experimental as well as analytical approaches to develop a comprehensive modeling.

Multipurpose prevention technologies: the future of HIV and STI protection

PubMed Central

2015-01-01

Every day, more than 1 million people are newly infected with sexually transmitted infections (STIs) that can lead to morbidity, mortality, and an increased risk of human immunodeficiency virus (HIV) acquisition. Existing prevention and management strategies, including behavior change, condom promotion, and therapy have not reduced the global incidence and prevalence, pointing to the need for novel innovative strategies. This review summarizes important issues raised during a satellite session at the first HIV R4P conference, held in Cape Town, on October 31, 2014. We explore key STIs that are challenging public health today; new biomedical prevention approaches including multipurpose prevention technologies (MPTs); and the scientific and regulatory hurdles that must be overcome to make combination prevention tools a reality. PMID:25759332

Online Social Networks - Opportunities for Empowering Cancer Patients.

PubMed

Mohammadzadeh, Zeinab; Davoodi, Somayeh; Ghazisaeidi, Marjan

2016-01-01

Online social network technologies have become important to health and apply in most health care areas. Particularly in cancer care, because it is a disease which involves many social aspects, online social networks can be very useful. Use of online social networks provides a suitable platform for cancer patients and families to present and share information about their medical conditions, address their educational needs, support decision making, and help to coping with their disease and improve their own outcomes. Like any other new technologies, online social networks, along with many benefits, have some negative effects such as violation of privacy and publication of incorrect information. However, if these effects are managed properly, they can empower patients to manage cancer through changing behavioral patterns and enhancing the quality of cancer patients lives This paper explains some application of online social networks in the cancer patient care process. It also covers advantages and disadvantages of related technologies.

The online community based decision making support system for mitigating biased decision making

NASA Astrophysics Data System (ADS)

Kang, Sunghyun; Seo, Jiwan; Choi, Seungjin; Kim, Junho; Han, Sangyong

2016-10-01

As the Internet technology and social media advance, various information and opinions are shared and distributed through the online communities. However, the existence of implicit and explicit bias of opinions may have a potential influence on the outcomes. Compared to the importance of mitigating biased information, the study in this field is relatively young and does not address many important issues. In this paper we propose the noble approach to mitigate the biased opinions using conventional machine learning methods. The proposed method extracts the useful features such as inclination and sentiment of the community members. They are classified based on their previous behavior, and the propensity of the members is understood. This information on each community and its members is very useful and improve the ability to make an unbiased decision. The proposed method presented in this paper is shown to have the ability to assist optimal, fair and good decision making while also reducing the influence of implicit bias.

Driving with roadmaps and dashboards: using information resources to structure the decision models in service organizations.

PubMed

Chorpita, Bruce F; Bernstein, Adam; Daleiden, Eric L

2008-03-01

This paper illustrates the application of design principles for tools that structure clinical decision-making. If the effort to implement evidence-based practices in community services organizations is to be effective, attention must be paid to the decision-making context in which such treatments are delivered. Clinical research trials commonly occur in an environment characterized by structured decision making and expert supports. Technology has great potential to serve mental health organizations by supporting these potentially important contextual features of the research environment, through organization and reporting of clinical data into interpretable information to support decisions and anchor decision-making procedures. This article describes one example of a behavioral health reporting system designed to facilitate clinical and administrative use of evidence-based practices. The design processes underlying this system-mapping of decision points and distillation of performance information at the individual, caseload, and organizational levels-can be implemented to support clinical practice in a wide variety of settings.

Building partnerships: a pilot study of stakeholders' attitudes on technology disruption in behavioral health delivery and research.

PubMed

Sucala, Madalina; Nilsen, Wendy; Muench, Frederick

2017-12-01

Collaborations between scientists, care providers, and technology industry professionals are becoming more relevant for developing, testing, and implementing behavioral health technologies. As the need for such partnerships increases, it is important to understand stakeholders' attitudes about their role in partnering for developing such technologies and how much do they expect technology to impact behavioral research and care. The aim of this study was to investigate how much technology disruption do stakeholders expect in healthcare, as well as their perceived contribution in partnering for developing behavioral health technologies. Stakeholders (N = 74) responded to an online convenience sampling survey. Over 89% of participants reported expecting that technology will bring at least a moderate amount of disruption in the current models of behavioral healthcare, with respondents with the most experience in digital health expecting the most disruption. As for their perception of each other's role in partnering for developing behavioral health technologies, one group's weakness was considered to be complemented by another group's strength. Academics were perceived as having more theoretical and research expertise but being less technology-savvy, while industry professionals were considered to excel at technological and marketing activities. Providers were considered to have the most clinical and real-world healthcare industry expertise. Our results indicate that technology is expected to disrupt current healthcare models, while also highlighting the need for collaboration, as no single group was considered to have sufficient expertise and resources to develop successful, effective behavioral health technologies on its own. These results may contribute to a better understanding of how technology disruption is affecting behavioral healthcare from the standpoint of its key players, which may lead to better collaborative models of research and care delivery.

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey

PubMed Central

2016-01-01

Background The future of health care delivery is becoming more citizen centered, as today’s user is more active, better informed, and more demanding. Worldwide governments are promoting online health services, such as electronic health record (EHR) patient portals and, as a result, the deployment and use of these services. Overall, this makes the adoption of patient-accessible EHR portals an important field to study and understand. Objective The aim of this study is to understand the factors that drive individuals to adopt EHR portals. Methods We applied a new adoption model using, as a starting point, Ventkatesh's Unified Theory of Acceptance and Use of Technology in a consumer context (UTAUT2) by integrating a new construct specific to health care, a new moderator, and new relationships. To test the research model, we used the partial least squares (PLS) causal modelling approach. An online questionnaire was administrated. We collected 360 valid responses. Results The statistically significant drivers of behavioral intention are performance expectancy (beta=.200; t=3.619), effort expectancy (beta=.185; t=2.907), habit (beta=.388; t=7.320), and self-perception (beta=.098; t=2.285). The predictors of use behavior are habit (beta=0.206; t=2.752) and behavioral intention (beta=0.258; t=4.036). The model explained 49.7% of the variance in behavioral intention and 26.8% of the variance in use behavior. Conclusions Our research helps to understand the desired technology characteristics of EHR portals. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not. The inclusion of specific constructs and relationships related to the health care consumer area also had a significant impact on understanding the adoption of EHR portals. PMID:26935646

A single instrument: engineering and engineering technology students demonstrating competence in ethics and professional standards.

PubMed

Feldhaus, Charles R; Wolter, Robert M; Hundley, Stephen P; Diemer, Tim

2006-04-01

This paper details efforts by the Purdue School of Engineering and Technology at Indiana University Purdue University Indianapolis (IUPUI) to create a single instrument for honors science, technology, engineering and mathematics (STEM) students wishing to demonstrate competence in the IUPUI Principles of Undergraduate Learning (PUL's) and Accreditation Board for Engineering and Technology (ABET) Engineering Accreditation Criterion (EAC) and Technology Accreditation Criterion (TAC) 2, a through k. Honors courses in Human Behavior, Ethical Decision-Making, Applied Leadership, International Issues and Leadership Theories and Processes were created along with a specific menu of activities and an assessment rubric based on PUL's and ABET criteria to evaluate student performance in the aforementioned courses. Students who complete the series of 18 Honors Credit hours are eligible for an Honors Certificate in Leadership Studies from the Department of Organizational Leadership and Supervision. Finally, an accounting of how various university assessment criteria, in this case the IUPUI Principles of Undergraduate Learning, can be linked to ABET outcomes and prove student competence in both, using the aforementioned courses, menu of items, and assessment rubrics; these will be analyzed and discussed.

Technology advancing the study of animal cognition: using virtual reality to present virtually simulated environments to investigate nonhuman primate spatial cognition

PubMed Central

Schweller, Kenneth; Milne, Scott

2017-01-01

Abstract Virtual simulated environments provide multiple ways of testing cognitive function and evaluating problem solving with humans (e.g., Woollett et al. 2009). The use of such interactive technology has increasingly become an essential part of modern life (e.g., autonomously driving vehicles, global positioning systems (GPS), and touchscreen computers; Chinn and Fairlie 2007; Brown 2011). While many nonhuman animals have their own forms of "technology", such as chimpanzees who create and use tools, in captive animal environments the opportunity to actively participate with interactive technology is not often made available. Exceptions can be found in some state-of-the-art zoos and laboratory facilities (e.g., Mallavarapu and Kuhar 2005). When interactive technology is available, captive animals often selectively choose to engage with it. This enhances the animal’s sense of control over their immediate surroundings (e.g., Clay et al. 2011; Ackerman 2012). Such self-efficacy may help to fulfill basic requirements in a species’ daily activities using problem solving that can involve foraging and other goal-oriented behaviors. It also assists in fulfilling the strong underlying motivation for contrafreeloading and exploration expressed behaviorally by many species in captivity (Young 1999). Moreover, being able to present nonhuman primates virtual reality environments under experimental conditions provides the opportunity to gain insight into their navigational abilities and spatial cognition. It allows for insight into the generation and application of internal mental representations of landmarks and environments under multiple conditions (e.g., small- and large-scale space) and subsequent spatial behavior. This paper reviews methods using virtual reality developed to investigate the spatial cognitive abilities of nonhuman primates, and great apes in particular, in comparison with that of humans of multiple age groups. We make recommendations about training, best practices, and also pitfalls to avoid. PMID:29491967

Technology advancing the study of animal cognition: using virtual reality to present virtually simulated environments to investigate nonhuman primate spatial cognition.

PubMed

Dolins, Francine L; Schweller, Kenneth; Milne, Scott

2017-02-01

Virtual simulated environments provide multiple ways of testing cognitive function and evaluating problem solving with humans (e.g., Woollett et al. 2009). The use of such interactive technology has increasingly become an essential part of modern life (e.g., autonomously driving vehicles, global positioning systems (GPS), and touchscreen computers; Chinn and Fairlie 2007; Brown 2011). While many nonhuman animals have their own forms of "technology", such as chimpanzees who create and use tools, in captive animal environments the opportunity to actively participate with interactive technology is not often made available. Exceptions can be found in some state-of-the-art zoos and laboratory facilities (e.g., Mallavarapu and Kuhar 2005). When interactive technology is available, captive animals often selectively choose to engage with it. This enhances the animal's sense of control over their immediate surroundings (e.g., Clay et al. 2011; Ackerman 2012). Such self-efficacy may help to fulfill basic requirements in a species' daily activities using problem solving that can involve foraging and other goal-oriented behaviors. It also assists in fulfilling the strong underlying motivation for contrafreeloading and exploration expressed behaviorally by many species in captivity (Young 1999). Moreover, being able to present nonhuman primates virtual reality environments under experimental conditions provides the opportunity to gain insight into their navigational abilities and spatial cognition. It allows for insight into the generation and application of internal mental representations of landmarks and environments under multiple conditions (e.g., small- and large-scale space) and subsequent spatial behavior. This paper reviews methods using virtual reality developed to investigate the spatial cognitive abilities of nonhuman primates, and great apes in particular, in comparison with that of humans of multiple age groups. We make recommendations about training, best practices, and also pitfalls to avoid.

Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach

PubMed Central

Sproesser, Gudrun; Schupp, Harald T; Renner, Britta

2018-01-01

Background Although mobile technologies such as smartphone apps are promising means for motivating people to adopt a healthier lifestyle (mHealth apps), previous studies have shown low adoption and continued use rates. Developing the means to address this issue requires further understanding of mHealth app nonusers and adoption processes. This study utilized a stage model approach based on the Precaution Adoption Process Model (PAPM), which proposes that people pass through qualitatively different motivational stages when adopting a behavior. Objective To establish a better understanding of between-stage transitions during app adoption, this study aimed to investigate the adoption process of nutrition and fitness app usage, and the sociodemographic and behavioral characteristics and decision-making style preferences of people at different adoption stages. Methods Participants (N=1236) were recruited onsite within the cohort study Konstanz Life Study. Use of mobile devices and nutrition and fitness apps, 5 behavior adoption stages of using nutrition and fitness apps, preference for intuition and deliberation in eating decision-making (E-PID), healthy eating style, sociodemographic variables, and body mass index (BMI) were assessed. Results Analysis of the 5 behavior adoption stages showed that stage 1 (“unengaged”) was the most prevalent motivational stage for both nutrition and fitness app use, with half of the participants stating that they had never thought about using a nutrition app (52.41%, 533/1017), whereas less than one-third stated they had never thought about using a fitness app (29.25%, 301/1029). “Unengaged” nonusers (stage 1) showed a higher preference for an intuitive decision-making style when making eating decisions, whereas those who were already “acting” (stage 4) showed a greater preference for a deliberative decision-making style (F4,1012=21.83, P<.001). Furthermore, participants differed widely in their readiness to adopt nutrition and fitness apps, ranging from having “decided to” but not yet begun to act (stage 2; nutrition: 6.88%, 70/1017; fitness: 9.23%, 95/1029) to being “disengaged” following previous adoption (stage 5; nutrition: 13.77%, 140/1017; fitness: 15.06%, 155/1029). Conclusions Using a behavior stage model approach to describe the process of adopting nutrition and fitness apps revealed motivational stage differences between nonusers (being “unengaged,” having “decided not to act,” having “decided to act,” and being “disengaged”), which might contribute to a better understanding of the process of adopting mHealth apps and thus inform the future development of digital interventions. This study highlights that new user groups might be better reached by apps designed to address a more intuitive decision-making style. PMID:29535078

Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach.

PubMed

König, Laura M; Sproesser, Gudrun; Schupp, Harald T; Renner, Britta

2018-03-13

Although mobile technologies such as smartphone apps are promising means for motivating people to adopt a healthier lifestyle (mHealth apps), previous studies have shown low adoption and continued use rates. Developing the means to address this issue requires further understanding of mHealth app nonusers and adoption processes. This study utilized a stage model approach based on the Precaution Adoption Process Model (PAPM), which proposes that people pass through qualitatively different motivational stages when adopting a behavior. To establish a better understanding of between-stage transitions during app adoption, this study aimed to investigate the adoption process of nutrition and fitness app usage, and the sociodemographic and behavioral characteristics and decision-making style preferences of people at different adoption stages. Participants (N=1236) were recruited onsite within the cohort study Konstanz Life Study. Use of mobile devices and nutrition and fitness apps, 5 behavior adoption stages of using nutrition and fitness apps, preference for intuition and deliberation in eating decision-making (E-PID), healthy eating style, sociodemographic variables, and body mass index (BMI) were assessed. Analysis of the 5 behavior adoption stages showed that stage 1 ("unengaged") was the most prevalent motivational stage for both nutrition and fitness app use, with half of the participants stating that they had never thought about using a nutrition app (52.41%, 533/1017), whereas less than one-third stated they had never thought about using a fitness app (29.25%, 301/1029). "Unengaged" nonusers (stage 1) showed a higher preference for an intuitive decision-making style when making eating decisions, whereas those who were already "acting" (stage 4) showed a greater preference for a deliberative decision-making style (F 4,1012 =21.83, P<.001). Furthermore, participants differed widely in their readiness to adopt nutrition and fitness apps, ranging from having "decided to" but not yet begun to act (stage 2; nutrition: 6.88%, 70/1017; fitness: 9.23%, 95/1029) to being "disengaged" following previous adoption (stage 5; nutrition: 13.77%, 140/1017; fitness: 15.06%, 155/1029). Using a behavior stage model approach to describe the process of adopting nutrition and fitness apps revealed motivational stage differences between nonusers (being "unengaged," having "decided not to act," having "decided to act," and being "disengaged"), which might contribute to a better understanding of the process of adopting mHealth apps and thus inform the future development of digital interventions. This study highlights that new user groups might be better reached by apps designed to address a more intuitive decision-making style. ©Laura M König, Gudrun Sproesser, Harald T Schupp, Britta Renner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 13.03.2018.

Studying social interactions through immersive virtual environment technology: virtues, pitfalls, and future challenges

PubMed Central

Bombari, Dario; Schmid Mast, Marianne; Canadas, Elena; Bachmann, Manuel

2015-01-01

The goal of the present review is to explain how immersive virtual environment technology (IVET) can be used for the study of social interactions and how the use of virtual humans in immersive virtual environments can advance research and application in many different fields. Researchers studying individual differences in social interactions are typically interested in keeping the behavior and the appearance of the interaction partner constant across participants. With IVET researchers have full control over the interaction partners, can standardize them while still keeping the simulation realistic. Virtual simulations are valid: growing evidence shows that indeed studies conducted with IVET can replicate some well-known findings of social psychology. Moreover, IVET allows researchers to subtly manipulate characteristics of the environment (e.g., visual cues to prime participants) or of the social partner (e.g., his/her race) to investigate their influences on participants’ behavior and cognition. Furthermore, manipulations that would be difficult or impossible in real life (e.g., changing participants’ height) can be easily obtained with IVET. Beside the advantages for theoretical research, we explore the most recent training and clinical applications of IVET, its integration with other technologies (e.g., social sensing) and future challenges for researchers (e.g., making the communication between virtual humans and participants smoother). PMID:26157414

Studying social interactions through immersive virtual environment technology: virtues, pitfalls, and future challenges.

PubMed

Bombari, Dario; Schmid Mast, Marianne; Canadas, Elena; Bachmann, Manuel

2015-01-01

The goal of the present review is to explain how immersive virtual environment technology (IVET) can be used for the study of social interactions and how the use of virtual humans in immersive virtual environments can advance research and application in many different fields. Researchers studying individual differences in social interactions are typically interested in keeping the behavior and the appearance of the interaction partner constant across participants. With IVET researchers have full control over the interaction partners, can standardize them while still keeping the simulation realistic. Virtual simulations are valid: growing evidence shows that indeed studies conducted with IVET can replicate some well-known findings of social psychology. Moreover, IVET allows researchers to subtly manipulate characteristics of the environment (e.g., visual cues to prime participants) or of the social partner (e.g., his/her race) to investigate their influences on participants' behavior and cognition. Furthermore, manipulations that would be difficult or impossible in real life (e.g., changing participants' height) can be easily obtained with IVET. Beside the advantages for theoretical research, we explore the most recent training and clinical applications of IVET, its integration with other technologies (e.g., social sensing) and future challenges for researchers (e.g., making the communication between virtual humans and participants smoother).

Application of virtual reality methods to obesity prevention and management research.

PubMed

Persky, Susan

2011-03-01

There is a great need for empirical evidence to inform clinical prevention and management of overweight and obesity. Application of virtual reality (VR) methods to this research agenda could present considerable advantages. Use of VR methods in basic and applied obesity prevention and treatment research is currently extremely limited. However, VR has been employed for social and behavioral research in many other domains where it has demonstrated validity and utility. Advantages of VR technologies as research tools include the ability to situate hypothetical research scenarios in realistic settings, tight experimental control inherent in virtual environments, the ability to manipulate and control any and all scenario elements, and enhanced behavioral measurement opportunities. The means by which each of these features could enhance obesity prevention and management research is discussed and illustrated in the context of an example research study. Challenges associated with the application of VR methods, such as technological limitations and cost, are also considered. By employing experimental VR methods to interrogate clinical encounters and other health-related situations, researchers may be able to elucidate causal relationships, strengthen theoretical models, and identify potential targets for intervention. In so doing, researchers stand to make important contributions to evidence-based practice innovation in weight management and obesity prevention. © 2011 Diabetes Technology Society.

Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language

PubMed Central

Narayanan, Shrikanth; Georgiou, Panayiotis G.

2013-01-01

The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion. PMID:24039277

Initial Design of Culturally Informed Behavioral Intervention Technologies: Developing an mHealth Intervention for Young Sexual Minority Men With Generalized Anxiety Disorder and Major Depression

PubMed Central

Montague, Enid; Mohr, David C

2013-01-01

Background To our knowledge, there is no well-articulated process for the design of culturally informed behavioral intervention technologies. Objective This paper describes the early stages of such a process, illustrated by the methodology for the ongoing development of a behavioral intervention technology targeting generalized anxiety disorder and major depression among young sexual minority men. Methods We integrated instructional design for Internet behavioral intervention technologies with greater detail on information sources that can identify user needs in understudied populations, as well as advances in the understanding of technology-specific behavioral intervention technology dimensions that may need to be culturally tailored. Results General psychological theory describing how to effect change in the clinical target is first integrated with theory describing potentially malleable factors that help explain the clinical problem within the population. Additional information sources are then used to (1) evaluate the theory, (2) identify population-specific factors that may affect users’ ability to relate to and benefit from the behavioral intervention technology, and (3) establish specific skills, attitudes, knowledge, etc, required to change malleable factors posited in the theory. User needs result from synthesis of this information. Product requirements are then generated through application of the user needs to specific behavioral intervention technology dimensions (eg, technology platform). We provide examples of considerations relevant to each stage of this process and how they were applied. Conclusions This process can guide the initial design of other culturally informed behavioral intervention technologies. This first attempt to create a systematic design process can spur development of guidelines for design of behavioral intervention technologies aimed to reduce health disparities. PMID:24311444

Understanding the role of mHealth and other media interventions for behavior change to enhance child survival and development in low- and middle-income countries: an evidence review.

PubMed

Higgs, Elizabeth S; Goldberg, Allison B; Labrique, Alain B; Cook, Stephanie H; Schmid, Carina; Cole, Charlotte F; Obregón, Rafael A

2014-01-01

Given the high morbidity and mortality among children in low- and middle-income countries as a result of preventable causes, the U.S. government and the United Nations Children's Fund convened an Evidence Summit on Enhancing Child Survival and Development in Lower- and Middle-Income Countries by Achieving Population-Level Behavior Change on June 3-4, 2013, in Washington, D.C. This article summarizes evidence for technological advances associated with population-level behavior changes necessary to advance child survival and healthy development in children under 5 years of age in low- and middle-income countries. After a rigorous evidence selection process, the authors assessed science, technology, and innovation papers that used mHealth, social/transmedia, multiplatform media, health literacy, and devices for behavior changes supporting child survival and development. Because of an insufficient number of studies on health literacy and devices that supported causal attribution of interventions to outcomes, the review focused on mHealth, social/transmedia, and multiplatform media. Overall, this review found that some mHealth interventions have sufficient evidence to make topic-specific recommendations for broader implementation, scaling, and next research steps (e.g., adherence to HIV/AIDS antiretroviral therapy, uptake and demand of maternal health service, and compliance with malaria treatment guidelines). While some media evidence demonstrates effectiveness in changing cognitive abilities, knowledge, and attitudes, evidence is minimal on behavioral endpoints linked to child survival. Population level behavior change is necessary to end preventable child deaths. Donors and low- and middle-income countries are encouraged to implement recommendations for informing practice, policy, and research decisions to fully maximize the impact potential of mHealth and multimedia for child survival and development.

Understanding the Role of mHealth and Other Media Interventions for Behavior Change to Enhance Child Survival and Development in Low- and Middle-Income Countries: An Evidence Review

PubMed Central

Higgs, Elizabeth S.; Goldberg, Allison B.; Labrique, Alain B.; Cook, Stephanie H.; Schmid, Carina; Cole, Charlotte F.; Obregón, Rafael A.

2014-01-01

Given the high morbidity and mortality among children in low- and middle-income countries as a result of preventable causes, the U.S. government and the United Nations Children's Fund convened an Evidence Summit on Enhancing Child Survival and Development in Lower- and Middle-Income Countries by Achieving Population-Level Behavior Change on June 3–4, 2013, in Washington, D.C. This article summarizes evidence for technological advances associated with population-level behavior changes necessary to advance child survival and healthy development in children under 5 years of age in low- and middle-income countries. After a rigorous evidence selection process, the authors assessed science, technology, and innovation papers that used mHealth, social/transmedia, multiplatform media, health literacy, and devices for behavior changes supporting child survival and development. Because of an insufficient number of studies on health literacy and devices that supported causal attribution of interventions to outcomes, the review focused on mHealth, social/transmedia, and multiplatform media. Overall, this review found that some mHealth interventions have sufficient evidence to make topic-specific recommendations for broader implementation, scaling, and next research steps (e.g., adherence to HIV/AIDS antiretroviral therapy, uptake and demand of maternal health service, and compliance with malaria treatment guidelines). While some media evidence demonstrates effectiveness in changing cognitive abilities, knowledge, and attitudes, evidence is minimal on behavioral endpoints linked to child survival. Population level behavior change is necessary to end preventable child deaths. Donors and low- and middle-income countries are encouraged to implement recommendations for informing practice, policy, and research decisions to fully maximize the impact potential of mHealth and multimedia for child survival and development. PMID:25207452

Thermophysical properties and rheological behavior of electro-rheological fluids at different temperatures

NASA Astrophysics Data System (ADS)

Korobko, Evguenia V.; Korobko, Yulia O.

2000-04-01

Fluid disperse systems, sensitive to the external electric field-electrorheological fluids, are finding increasing use in various areas of industry and technology. Their physicomechanical, electrophysical characteristics determine the valuable specific properties of the materials with assigned structure, obtainable with everwide use of electric fields, which makes it possible to substantially enhance efficiency and productiveness of technological processes and to improve the control of operational regimes of the equipment which employ fluid disperse media. The present investigations has been undertaken with the aim of studying thermophysical properties and rheophysical behavior of low-concentration ER- fluid (diatomite in transformer oil) at different temperatures. It was shown that the electric field, which changes considerably the structure of electrorheological fluid, influences effective thermal conductivity and diffusivity coefficients. Their increase with electric field intensity and the increase of the effective viscosity with temperature are connected with the increase of the conductive component of the overall heat transfer through the contact spots between the solid particles, and with intensification of electric convection in the spaces between the dispersed particles.

Communication Technology Use and mHealth Acceptance among HIV-infected Men who have Sex with Men in Peru: Implications for HIV Prevention and Treatment

PubMed Central

Krishnan, Archana; Ferro, Enrico G.; Weikum, Damian; Vagenas, Panagiotis; Lama, Javier R.; Sanchez, Jorge; Altice, Frederick L.

2014-01-01

The HIV epidemic in Peru is concentrated among men who have sex with men (MSM). Given that MSM have been documented as early adopters of emerging technology, we examined communication technology access and utilization, and mobile health (mHealth) acceptance among Peruvian MSM and transgender women (TGW) in order to gauge opportunities for mHealth-enabled HIV interventions. A convenience sample of 359 HIV-infected MSM and TGW recruited from three sites in Lima, Peru completed standardized assessments of alcohol use disorders (AUDs), risky sexual behavior, and antiretroviral therapy (ART) adherence along with self-constructed measures of communication technology access and utilization, and mHealth acceptance. Most (86%) participants had daily access to any cell phone, including smartphones (30%). The most frequent communication activities were receiving and making calls, and receiving and sending text messages using cell phones. On a 5-point Likert scale, participants expressed interest in using mHealth for medication reminders (M=3.21, SD=1.32) and engaging in anonymous online interactions with health professionals to discuss HIV-related issues (M=3.56, SD=1.33). Importantly, no significant differences were found in communication technology use and mHealth acceptance among participants with AUDs, depression and suboptimal ART adherence, all of which are associated with poor HIV treatment outcomes. Findings show support for implementing mHealth-based intervention strategies using cell phones to assess and reduce HIV-risk behaviors among HIV-infected MSM and TGW. PMID:25285464

Expert system technology

NASA Technical Reports Server (NTRS)

Prince, Mary Ellen

1987-01-01

The expert system is a computer program which attempts to reproduce the problem-solving behavior of an expert, who is able to view problems from a broad perspective and arrive at conclusions rapidly, using intuition, shortcuts, and analogies to previous situations. Expert systems are a departure from the usual artificial intelligence approach to problem solving. Researchers have traditionally tried to develop general modes of human intelligence that could be applied to many different situations. Expert systems, on the other hand, tend to rely on large quantities of domain specific knowledge, much of it heuristic. The reasoning component of the system is relatively simple and straightforward. For this reason, expert systems are often called knowledge based systems. The report expands on the foregoing. Section 1 discusses the architecture of a typical expert system. Section 2 deals with the characteristics that make a problem a suitable candidate for expert system solution. Section 3 surveys current technology, describing some of the software aids available for expert system development. Section 4 discusses the limitations of the latter. The concluding section makes predictions of future trends.

Behavioral Economics: A New Lens for Understanding Genomic Decision Making.

PubMed

Moore, Scott Emory; Ulbrich, Holley H; Hepburn, Kenneth; Holaday, Bonnie; Mayo, Rachel; Sharp, Julia; Pruitt, Rosanne H

2018-05-01

This article seeks to take the next step in examining the insights that nurses and other healthcare providers can derive from applying behavioral economic concepts to support genomic decision making. As genomic science continues to permeate clinical practice, nurses must continue to adapt practice to meet new challenges. Decisions associated with genomics are often not simple and dichotomous in nature. They can be complex and challenging for all involved. This article offers an introduction to behavioral economics as a possible tool to help support patients', families', and caregivers' decision making related to genomics. Using current writings from nursing, ethics, behavioral economic, and other healthcare scholars, we review key concepts of behavioral economics and discuss their relevance to supporting genomic decision making. Behavioral economic concepts-particularly relativity, deliberation, and choice architecture-are specifically examined as new ways to view the complexities of genomic decision making. Each concept is explored through patient decision making and clinical practice examples. This article also discusses next steps and practice implications for further development of the behavioral economic lens in nursing. Behavioral economics provides valuable insight into the unique nature of genetic decision-making practices. Nurses are often a source of information and support for patients during clinical decision making. This article seeks to offer behavioral economic concepts as a framework for understanding and examining the unique nature of genomic decision making. As genetic and genomic testing become more common in practice, it will continue to grow in importance for nurses to be able to support the autonomous decision making of patients, their families, and caregivers. © 2018 Sigma Theta Tau International.

The role of behavioral economics and behavioral decision making in Americans' retirement savings decisions.

PubMed

Knoll, Melissa A Z

2010-01-01

Traditional economic theory posits that people make decisions by maximizing a utility function in which all of the relevant constraints and preferences are included and weighed appropriately. Behavioral economists and decision-making researchers, however, are interested in how people make decisions in the face of incomplete information, limited cognitive resources, and decision biases. Empirical findings in the areas of behavioral economics and judgment and decision making (JDM) demonstrate departures from the notion that man is economically rational, illustrating instead that people often act in ways that are economically suboptimal. This article outlines findings from the JDM and behavioral-economics literatures that highlight the many behavioral impediments to saving that individuals may encounter on their way to financial security. I discuss how behavioral and psychological issues, such as self-control, emotions, and choice architecture can help policymakers understand what factors, aside from purely economic ones, may affect individuals' savings behavior.

Planning versus action: Different decision-making processes predict plans to change one's diet versus actual dietary behavior.

PubMed

Kiviniemi, Marc T; Brown-Kramer, Carolyn R

2015-05-01

Most health decision-making models posit that deciding to engage in a health behavior involves forming a behavioral intention which then leads to actual behavior. However, behavioral intentions and actual behavior may not be functionally equivalent. Two studies examined whether decision-making factors predicting dietary behaviors were the same as or distinct from those predicting intentions. Actual dietary behavior was proximally predicted by affective associations with the behavior. By contrast, behavioral intentions were predicted by cognitive beliefs about behaviors, with no contribution of affective associations. This dissociation has implications for understanding individual regulation of health behaviors and for behavior change interventions. © The Author(s) 2015.

Analysis of Impact of 3D Printing Technology on Traditional Manufacturing Technology

NASA Astrophysics Data System (ADS)

Wu, Niyan; Chen, Qi; Liao, Linzhi; Wang, Xin

With quiet rise of 3D printing technology in automobile, aerospace, industry, medical treatment and other fields, many insiders hold different opinions on its development. This paper objectively analyzes impact of 3D printing technology on mold making technology and puts forward the idea of fusion and complementation of 3D printing technology and mold making technology through comparing advantages and disadvantages of 3D printing mold and traditional mold making technology.

Risk-taking and decision-making in youth: relationships to addiction vulnerability.

PubMed

Balogh, Kornelia N; Mayes, Linda C; Potenza, Marc N

2013-03-01

Decision-making and risk-taking behavior undergo developmental changes during adolescence. Disadvantageous decision-making and increased risk-taking may lead to problematic behaviors such as substance use and abuse, pathological gambling and excessive internet use. Based on MEDLINE searches, this article reviews the literature on decision-making and risk-taking and their relationship to addiction vulnerability in youth. Decision-making and risk-taking behaviors involve brain areas that undergoing developmental changes during puberty and young adulthood. Individual differences and peer pressure also relate importantly to decision-making and risk-taking. Brain-based changes in emotional, motivational and cognitive processing may underlie risk-taking and decision-making propensities in adolescence, making this period a time of heightened vulnerability for engagement in additive behaviors.

Behavioral approach and orbitofrontal cortical activity during decision-making in substance dependence.

PubMed

Yamamoto, Dorothy J; Banich, Marie T; Regner, Michael F; Sakai, Joseph T; Tanabe, Jody

2017-11-01

Behavioral approach, defined as behavior directed toward a reward or novel stimulus, when elevated, may increase one's vulnerability to substance use disorder. Behavioral approach has been associated with relatively greater left compared to right frontal activity; behavioral inhibition may be associated with relatively greater right compared to left frontal brain activity. We hypothesized that substance dependent individuals (SDI) would have higher behavioral approach than controls and greater prefrontal cortical activity during decision-making involving reward. We hypothesized that behavioral approach would correlate with left frontal activity during decision-making and that the correlation would be stronger in SDI than controls. 31 SDI and 21 controls completed the Behavioral Inhibition System/Behavioral Approach System (BIS/BAS) scales and performed a decision-making task during fMRI. Orbitofrontal (OFC) and dorsolateral prefrontal activity were correlated with BIS and BAS scores. Compared to controls, SDI had higher BAS Fun Seeking scores (p<0.001) and worse decision-making performance (p=0.004). BAS Fun Seeking correlated with left OFC activity during decision-making across group (r=0.444, p<0.003). The correlation did not differ by group. There was no correlation between BIS and right frontal activity. Left OFC may play a role in reward-related decision-making in substance use disorder especially in individuals with high behavioral approach. Copyright © 2017 Elsevier B.V. All rights reserved.

Exposure to indoor air pollution from household energy use in rural China: the interactions of technology, behavior, and knowledge in health risk management.

PubMed

Jin, Yinlong; Ma, Xiao; Chen, Xining; Cheng, Yibin; Baris, Enis; Ezzati, Majid

2006-06-01

Indoor air pollution (IAP) from household use of biomass and coal is a leading environmental health risk in many developing nations. Much of the initial research on household energy technology overlooked the complex interactions of technological, behavioral, economic, and infrastructural factors that determine the success of environmental health interventions. Consequently, despite enormous interest in reducing the large and inequitable risks associated with household energy use in international development and global health, there is limited empirical research to form the basis for design and delivery of effective interventions. We used data from four poor provinces in China (Gansu, Guizhou, Inner Mongolia, and Shaanxi) to examine the linkages among technology, user knowledge and behavior, and access and infrastructure in exposure to IAP from household energy use. We conclude that broad health risk education is insufficient for successful risk mitigation when exposure behaviors are closely linked to day-to-day activities of households such as cooking and heating, or have other welfare implications, and hence cannot be simply stopped. Rather, there should be emphasis on the economic and infrastructure determinants of access to technology, as well as the details of behaviors that affect exposure. Better understanding of technology-behavior interface would also allow designing technological interventions that account for, and are robust to, behavioral factors or to provide individuals and households with alternative behaviors. Based on the analysis, we present technological and behavioral interventions for these four Chinese provinces.

Towards an internal model in pilot training.

PubMed

Braune, R J; Trollip, S R

1982-10-01

Optimal decision making requires an information seeking behavior which reflects the comprehension of the overall system dynamics. Research in the area of human monitors in man-machine systems supports the notion of an internal model with built-in expectancies. It is doubtful that the current approach to pilot training helps develop this internal model in the most efficient way. But this is crucial since the role of the pilot is changing to a systems' manager and decision maker. An extension of the behavioral framework of pilot training might help to prepare the pilot better for the increasingly complex flight environment. This extension is based on the theoretical model of schema theory, which evolved out of psychological research. The technological advances in aircraft simulators and in-flight performance measurement devices allow investigation of the still-unresolved issues.

Acoustic emission analysis: A test method for metal joints bonded by adhesives

NASA Technical Reports Server (NTRS)

Brockmann, W.; Fischer, T.

1978-01-01

Acoustic emission analysis is applied to study adhesive joints which had been subjected to mechanical and climatic stresses, taking into account conditions which make results applicable to adhesive joints used in aerospace technology. Specimens consisting of the alloy AlMgSi0.5 were used together with a phenolic resin adhesive, an epoxy resin modified with a polyamide, and an epoxy resin modified with a nitrile. Results show that the acoustic emission analysis provides valuable information concerning the behavior of adhesive joints under load and climatic stresses.

The behavior of nanosatellite body materials during electromagnetic launch

NASA Astrophysics Data System (ADS)

Gerasimov, Yu V.; Konstantinova, I. A.; Konstantinova, L. A.; Rakhimov, R. G.; Selivanov, A. B.

2017-11-01

Current development of aerospace technology and demands for the economic feasibility have led to a reduction in weight and size characteristics of the on-board electronics and other on-board equipment. There is a tendency to use small-scale spacecraft: midi-satellites, mini-satellites, nanosatellites etc. Reducing the weight and size characteristics of the satellites makes electromagnetic launching techniques more promising compared to traditional methods of sending payload into orbit. Electromagnetic launch does not require expensive space centers - it is cost-efficient, environmentally friendly and enables frequent low-cost launches.

Calling for Help? Considering Function and Meaning when Patients Drunk-Dial Psychotherapists

PubMed Central

Serafini, Kelly; LaPaglia, Donna; Steinfeld, Matthew

2013-01-01

Drunk-dialing is a term documented in both popular culture and academic literatures to describe a behavior in which a person contacts another individual by phone while intoxicated. In our collective clinical experience we have found that clients drunk-dial their clinicians too, particularly while in substance use treatment, and yet there is a noticeable absence of research on the topic to guide clinical decision-making within a process-based understanding of these events. As the parameters within which psychotherapy takes place become increasingly technologized, a literature base to document clients’ idiosyncratic use of technology will become increasingly necessary and useful. We provide a brief review of the existing research on drunk-dialing and conclude with specific questions to guide future research and practice. PMID:24023519

Virtual Violence.

PubMed

2016-08-01

In the United States, exposure to media violence is becoming an inescapable component of children's lives. With the rise in new technologies, such as tablets and new gaming platforms, children and adolescents increasingly are exposed to what is known as "virtual violence." This form of violence is not experienced physically; rather, it is experienced in realistic ways via new technology and ever more intense and realistic games. The American Academy of Pediatrics continues to be concerned about children's exposure to virtual violence and the effect it has on their overall health and well-being. This policy statement aims to summarize the current state of scientific knowledge regarding the effects of virtual violence on children's attitudes and behaviors and to make specific recommendations for pediatricians, parents, industry, and policy makers. Copyright © 2016 by the American Academy of Pediatrics.

Economic analysis of electric heating based on critical electricity price

NASA Astrophysics Data System (ADS)

Xie, Feng; Sun, Zhijie; Zhou, Xinnan; Fu, Chengran; Yang, Jie

2018-06-01

The State Grid Corporation of China proposes an alternative energy strategy, which will make electric heating an important task in the field of residential electricity consumption. This article takes this as the background, has made the detailed introduction to the inhabitant electric heating technology, and take the Zhangjiakou electric panels heating technology as an example, from the expense angle, has carried on the analysis to the electric panels heating economy. In the field of residential heating, electric panels operating costs less than gas boilers. After customers implying energy-saving behavior, electric panels operating cost is even lower than coal-fired boilers. The critical price is higher than the execution price, which indicates that the economic performance of the electric panels is significantly higher than that of the coal boiler.

Privacy and anonymity in the information society - challenges for the European Union.

PubMed

Tsoukalas, Ioannis A; Siozos, Panagiotis D

2011-03-01

Electronic information is challenging traditional views on property and privacy. The explosion of digital data, driven by novel web applications, social networking, and mobile devices makes data security and the protection of privacy increasingly difficult. Furthermore, biometric data and radiofrequency identification applications enable correlations that are able to trace our cultural, behavioral, and emotional states. The concept of privacy in the digital realm is transformed and emerges as one of the biggest risks facing today's Information Society. In this context, the European Union (EU) policy-making procedures strive to adapt to the pace of technological advancement. The EU needs to improve the existing legal frameworks for privacy and data protection. It needs to work towards a "privacy by education" approach for the empowerment of "privacy-literate" European digital citizens.

Health-related behaviors and technology usage among college students.

PubMed

Melton, Bridget F; Bigham, Lauren E; Bland, Helen W; Bird, Matthew; Fairman, Ciaran

2014-07-01

To examine associations between technology usage and specific health factors among college students. The research employed was a quantitative, descriptive, cross-sectional design; undergraduate students enrolled in spring 2012 general health education courses were recruited to participate. To explore college students' specific technology usage and health-related behaviors, a 28-item questionnaire was utilized. Statistical significant differences of technology usage were found between 3 of the 4 health-related behaviors under study (BMI, sleep, and nutrition) (p < .05). As technology usage continues to evolve within the college student population, health professionals need to understand its implications on health behaviors.

Risk-taking and decision-making in youth: relationships to addiction vulnerability

PubMed Central

Balogh, Kornelia N.; Mayes, Linda C.; Potenza, Marc N.

2013-01-01

Background Decision-making and risk-taking behavior undergo developmental changes during adolescence. Disadvantageous decision-making and increased risk-taking may lead to problematic behaviors such as substance use and abuse, pathological gambling and excessive internet use. Methods Based on MEDLINE searches, this article reviews the literature on decision-making and risk-taking and their relationship to addiction vulnerability in youth. Results Decision-making and risk-taking behaviors involve brain areas that undergoing developmental changes during puberty and young adulthood. Individual differences and peer pressure also relate importantly to decision-making and risk-taking. Conclusions Brain-based changes in emotional, motivational and cognitive processing may underlie risk-taking and decision-making propensities in adolescence, making this period a time of heightened vulnerability for engagement in additive behaviors. PMID:24294500

A Methodology to Assess the Strategic Benefits of New Production Technologies

DTIC Science & Technology

1990-01-01

does not capture these strategic advantage , that make new technologies attractive. Our methodology integrates investments in new pro- duction...capture these strategic advantages that make new technologies attractive. Our methodology integrates investments in new production technologies into the...focus on reducing labor costs, does not capture these strategic advantages that make new technologies attractive. In many cases, retaining the existing

Sensing Technologies for Autism Spectrum Disorder Screening and Intervention

PubMed Central

Cabibihan, John-John; Javed, Hifza; Aldosari, Mohammed; Frazier, Thomas W.; Elbashir, Haitham

2016-01-01

This paper reviews the state-of-the-art in sensing technologies that are relevant for Autism Spectrum Disorder (ASD) screening and therapy. This disorder is characterized by difficulties in social communication, social interactions, and repetitive behaviors. It is diagnosed during the first three years of life. Early and intensive interventions have been shown to improve the developmental trajectory of the affected children. The earlier the diagnosis, the sooner the intervention therapy can begin, thus, making early diagnosis an important research goal. Technological innovations have tremendous potential to assist with early diagnosis and improve intervention programs. The need for careful and methodological evaluation of such emerging technologies becomes important in order to assist not only the therapists and clinicians in their selection of suitable tools, but to also guide the developers of the technologies in improving hardware and software. In this paper, we survey the literatures on sensing technologies for ASD and we categorize them into eye trackers, movement trackers, electrodermal activity monitors, tactile sensors, vocal prosody and speech detectors, and sleep quality assessment devices. We assess their effectiveness and study their limitations. We also examine the challenges faced by this growing field that need to be addressed before these technologies can perform up to their theoretical potential. PMID:28036004

A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures

DOE PAGES

Sun, K; Hong, T

2017-07-01

© 2017 Elsevier B.V. To improve energy efficiency—during new buildings design or during a building retrofit—evaluating the energy savings potential of energy conservation measures (ECMs) is a critical task. In building retrofits, occupant behavior significantly impacts building energy use and is a leading factor in uncertainty when determining the effectiveness of retrofit ECMs. Current simulation-based assessment methods simplify the representation of occupant behavior by using a standard or representative set of static and homogeneous assumptions ignoring the dynamics, stochastics, and diversity of occupant's energy-related behavior in buildings. The simplification contributes to significant gaps between the simulated and measured actual energymore » performance of buildings. This study presents a framework for quantifying the impact of occupant behaviors on ECM energy savings using building performance simulation. During the first step of the study, three occupant behavior styles (austerity, normal, and wasteful) were defined to represent different levels of energy consciousness of occupants regarding their interactions with building energy systems (HVAC, windows, lights and plug-in equipment). Next, a simulation workflow was introduced to determine a range of the ECM energy savings. Then, guidance was provided to interpret the range of ECM savings to support ECM decision making. Finally, a pilot study was performed in a real building to demonstrate the application of the framework. Simulation results show that the impact of occupant behaviors on ECM savings vary with the type of ECM. Occupant behavior minimally affects energy savings for ECMs that are technology-driven (the relative savings differ by less than 2%) and have little interaction with the occupants; for ECMs with strong occupant interaction, such as the use of zonal control variable refrigerant flow system and natural ventilation, energy savings are significantly affected by occupant behavior (the relative savings differ by up to 20%). The study framework provides a novel, holistic approach to assessing the uncertainty of ECM energy savings related to occupant behavior, enabling stakeholders to understand and assess the risk of adopting energy efficiency technologies for new and existing buildings.« less

Increasing efficacy of primary care-based counseling for diabetes prevention: rationale and design of the ADAPT (Avoiding Diabetes Thru Action Plan Targeting) trial.

PubMed

Mann, Devin M; Lin, Jenny J

2012-01-23

Studies have shown that lifestyle behavior changes are most effective to prevent onset of diabetes in high-risk patients. Primary care providers are charged with encouraging behavior change among their patients at risk for diabetes, yet the practice environment and training in primary care often do not support effective provider counseling. The goal of this study is to develop an electronic health record-embedded tool to facilitate shared patient-provider goal setting to promote behavioral change and prevent diabetes. The ADAPT (Avoiding Diabetes Thru Action Plan Targeting) trial leverages an innovative system that integrates evidence-based interventions for behavioral change with already-existing technology to enhance primary care providers' effectiveness to counsel about lifestyle behavior changes. Using principles of behavior change theory, the multidisciplinary design team utilized in-depth interviews and in vivo usability testing to produce a prototype diabetes prevention counseling system embedded in the electronic health record. The core element of the tool is a streamlined, shared goal-setting module within the electronic health record system. The team then conducted a series of innovative, "near-live" usability testing simulations to refine the tool and enhance workflow integration. The system also incorporates a pre-encounter survey to elicit patients' behavior-change goals to help tailor patient-provider goal setting during the clinical encounter and to encourage shared decision making. Lastly, the patients interact with a website that collects their longitudinal behavior data and allows them to visualize their progress over time and compare their progress with other study members. The finalized ADAPT system is now being piloted in a small randomized control trial of providers using the system with prediabetes patients over a six-month period. The ADAPT system combines the influential powers of shared goal setting and feedback, tailoring, modeling, contracting, reminders, and social comparisons to integrate evidence-based behavior-change principles into the electronic health record to maximize provider counseling efficacy during routine primary care clinical encounters. If successful, the ADAPT system may represent an adaptable and scalable technology-enabled behavior-change tool for all primary care providers. ClinicalTrials.gov Identifier NCT01473654.

A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures

DOE PAGES

Sun, Kaiyu; Hong, Tianzhen

2017-04-27

To improve energy efficiency—during new buildings design or during a building retrofit—evaluating the energy savings potential of energy conservation measures (ECMs) is a critical task. In building retrofits, occupant behavior significantly impacts building energy use and is a leading factor in uncertainty when determining the effectiveness of retrofit ECMs. Current simulation-based assessment methods simplify the representation of occupant behavior by using a standard or representative set of static and homogeneous assumptions ignoring the dynamics, stochastics, and diversity of occupant's energy-related behavior in buildings. The simplification contributes to significant gaps between the simulated and measured actual energy performance of buildings. Thismore » paper presents a framework for quantifying the impact of occupant behaviors on ECM energy savings using building performance simulation. During the first step of the study, three occupant behavior styles (austerity, normal, and wasteful) were defined to represent different levels of energy consciousness of occupants regarding their interactions with building energy systems (HVAC, windows, lights and plug-in equipment). Next, a simulation workflow was introduced to determine a range of the ECM energy savings. Then, guidance was provided to interpret the range of ECM savings to support ECM decision making. Finally, a pilot study was performed in a real building to demonstrate the application of the framework. Simulation results show that the impact of occupant behaviors on ECM savings vary with the type of ECM. Occupant behavior minimally affects energy savings for ECMs that are technology-driven (the relative savings differ by less than 2%) and have little interaction with the occupants; for ECMs with strong occupant interaction, such as the use of zonal control variable refrigerant flow system and natural ventilation, energy savings are significantly affected by occupant behavior (the relative savings differ by up to 20%). Finally, the study framework provides a novel, holistic approach to assessing the uncertainty of ECM energy savings related to occupant behavior, enabling stakeholders to understand and assess the risk of adopting energy efficiency technologies for new and existing buildings.« less

A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sun, Kaiyu; Hong, Tianzhen

To improve energy efficiency—during new buildings design or during a building retrofit—evaluating the energy savings potential of energy conservation measures (ECMs) is a critical task. In building retrofits, occupant behavior significantly impacts building energy use and is a leading factor in uncertainty when determining the effectiveness of retrofit ECMs. Current simulation-based assessment methods simplify the representation of occupant behavior by using a standard or representative set of static and homogeneous assumptions ignoring the dynamics, stochastics, and diversity of occupant's energy-related behavior in buildings. The simplification contributes to significant gaps between the simulated and measured actual energy performance of buildings. Thismore » paper presents a framework for quantifying the impact of occupant behaviors on ECM energy savings using building performance simulation. During the first step of the study, three occupant behavior styles (austerity, normal, and wasteful) were defined to represent different levels of energy consciousness of occupants regarding their interactions with building energy systems (HVAC, windows, lights and plug-in equipment). Next, a simulation workflow was introduced to determine a range of the ECM energy savings. Then, guidance was provided to interpret the range of ECM savings to support ECM decision making. Finally, a pilot study was performed in a real building to demonstrate the application of the framework. Simulation results show that the impact of occupant behaviors on ECM savings vary with the type of ECM. Occupant behavior minimally affects energy savings for ECMs that are technology-driven (the relative savings differ by less than 2%) and have little interaction with the occupants; for ECMs with strong occupant interaction, such as the use of zonal control variable refrigerant flow system and natural ventilation, energy savings are significantly affected by occupant behavior (the relative savings differ by up to 20%). Finally, the study framework provides a novel, holistic approach to assessing the uncertainty of ECM energy savings related to occupant behavior, enabling stakeholders to understand and assess the risk of adopting energy efficiency technologies for new and existing buildings.« less

Making Technology Ready: Integrated Systems Health Management

NASA Technical Reports Server (NTRS)

Malin, Jane T.; Oliver, Patrick J.

2007-01-01

This paper identifies work needed by developers to make integrated system health management (ISHM) technology ready and by programs to make mission infrastructure ready for this technology. This paper examines perceptions of ISHM technologies and experience in legacy programs. Study methods included literature review and interviews with representatives of stakeholder groups. Recommendations address 1) development of ISHM technology, 2) development of ISHM engineering processes and methods, and 3) program organization and infrastructure for ISHM technology evolution, infusion and migration.

Chance, choice, and the future of reproduction.

PubMed

Miller, W B

1983-11-01

The evolution of reproduction has been characterized by the development of complex biological and behavioral mechanisms that serve to regulate chance events. Human reproduction has been characterized by the increasing importance of individual choice. Some contemporary manifestations of this broad trend are the high incidence of contraceptive and "proceptive" behavior among couples in Western, industrialized nations. The former behavior willingly attempts to prevent conception while the latter actively attempts to induce conception (such as concentrating intercourse around the time of ovulation). Both patterns of behavior indicate that a choice is being made. A 3-year study of 1000 women revealed proceptive behavior as the most important factor predicting occurance of conception among married couples in the United States. The general strategeis people follow while making childbearing decisions: termination, sequencing, and pre-planning form a continuum following the historical trend toward greater reproductive control. In the terminating strategy, a couple makes no decision about child bearing until the number of children they have become enough or too much. In the sequencing strategy, decisions to have children are made 1 child at a time until a satisfactory limit is reached. In the pre-planning strategy, a plan is worked out ahead of time and is subsequently carried out. As new reproductive technology is introduced and as progressive change is made in society's reproductive related values and beliefs, choice will continue to dominate chance as the highly likely trend for the future of reproduction. Surrogate maternity is just 1 example of this trend. However, these new options, which culminate in the theory and practice of "progensis," (still in its infancy), as well as offering a rich opportunity, can also incur psychological burdens on a couple. Thus, as with any kind of freedom, these developments will require care, caution and responsibility.

Managing the Fukushima Challenge

PubMed Central

Suzuki, Atsuyuki

2014-01-01

The Fukushima Daiichi accident raises a fundamental question: Can science and technology prevent the inevitability of serious accidents, especially those with low probabilities and high consequences? This question reminds us of a longstanding challenge with the trans-sciences, originally addressed by Alvin Weinberg well before the Three Mile Island and Chernobyl accidents. This article, revisiting Weinberg's issue, aims at gaining insights from the accident with a special emphasis on the sociotechnical or human behavioral aspects lying behind the accident's causes. In particular, an innovative method for managing the challenge is explored referring to behavioral science approaches to a decision-making process on risk management; such as managing human behavioral risks with information asymmetry, seeking a rational consensus with communicative action, and pursuing procedural rationality through interactions with the outer environment. In short, this article describes the emerging need for Japan to transform its national safety management institutions so that these might be based on interactive communication with parties inside and outside Japan. PMID:24954604

[Intensity in the neurorehabilitation of spastic paresis].

PubMed

Meimoun, M; Bayle, N; Baude, M; Gracies, J-M

2015-02-01

Neurorestoration of motor command in spastic paresis requires a double action of stimulation and guidance of central nervous system plasticity. Beyond drug therapies, electrical stimulation and cell therapies, which may stimulate plasticity without precisely guiding it, two interventions seem capable of driving plasticity with a double stimulation and guidance component: the lesion itself (lesion-induced plasticity) and durable behavior modifications (behavior-induced plasticity). Modern literature makes it clear that the intensity of the neuronal and physical training is a primary condition to foster behavior-induced plasticity. When it comes to working on movement, intensity can be achieved by the combination of two key components, one is the difficulty of the trained movement, the other is the number of repetitions or the daily duration of the practice. A number of recent studies shed light on promising recovery prospects, particularly using the emergence of new technologies such as robot-assisted therapy and concepts such as guided self-rehabilitation contracts. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

The Use of Behavior Change Techniques and Theory in Technologies for Cardiovascular Disease Prevention and Treatment in Adults: A Comprehensive Review

PubMed Central

Winter, Sandra J; Sheats, Jylana L; King, Abby C

2016-01-01

This review examined the use of health behavior change techniques and theory in technology-enabled interventions targeting risk factors and indicators for cardiovascular disease (CVD) prevention and treatment. Articles targeting physical activity, weight loss, smoking cessation and management of hypertension, lipids and blood glucose were sourced from PubMed (November 2010-2015) and coded for use of 1) technology, 2) health behavior change techniques (using the CALO-RE taxonomy), and 3) health behavior theories. Of the 984 articles reviewed, 304 were relevant (240=intervention, 64=review). Twenty-two different technologies were used (M=1.45, SD=+/−0.719). The most frequently used behavior change techniques were self-monitoring and feedback on performance (M=5.4, SD=+/−2.9). Half (52%) of the intervention studies named a theory/model - most frequently Social Cognitive Theory, the Trans-theoretical Model, and the Theory of Planned Behavior/Reasoned Action. To optimize technology-enabled interventions targeting CVD risk factors, integrated behavior change theories that incorporate a variety of evidence-based health behavior change techniques are needed. PMID:26902519

Augmenting team cognition in human-automation teams performing in complex operational environments.

PubMed

Cuevas, Haydee M; Fiore, Stephen M; Caldwell, Barrett S; Strater, Laura

2007-05-01

There is a growing reliance on automation (e.g., intelligent agents, semi-autonomous robotic systems) to effectively execute increasingly cognitively complex tasks. Successful team performance for such tasks has become even more dependent on team cognition, addressing both human-human and human-automation teams. Team cognition can be viewed as the binding mechanism that produces coordinated behavior within experienced teams, emerging from the interplay between each team member's individual cognition and team process behaviors (e.g., coordination, communication). In order to better understand team cognition in human-automation teams, team performance models need to address issues surrounding the effect of human-agent and human-robot interaction on critical team processes such as coordination and communication. Toward this end, we present a preliminary theoretical framework illustrating how the design and implementation of automation technology may influence team cognition and team coordination in complex operational environments. Integrating constructs from organizational and cognitive science, our proposed framework outlines how information exchange and updating between humans and automation technology may affect lower-level (e.g., working memory) and higher-level (e.g., sense making) cognitive processes as well as teams' higher-order "metacognitive" processes (e.g., performance monitoring). Issues surrounding human-automation interaction are discussed and implications are presented within the context of designing automation technology to improve task performance in human-automation teams.

Biomass Scenario Model: BETO Analysis Platform Peer Review; NREL (National Renewable Energy Laboratory)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bush, B.

2015-03-23

The Biomass Scenario Model (BSM) is a unique, carefully validated, state-of-the-art fourth-generation model of the domestic bioenergy supply chain which explicitly focuses on policy issues and their potential side effects. It integrates resource availability, behavior, policy, and physical, technological, and economic constraints. The BSM uses system-dynamics simulation to model dynamic interactions across the supply chain; it tracks the deployment of biofuels given technological development and the reaction of the investment community to those technologies in the context of land availability, the competing oil market, consumer demand for biofuels, and government policies over time. It places a strong emphasis on themore » behavior and decision-making of various economic agents. The model treats the major infrastructure-compatible fuels. Scenario analysis based on the BSM shows that the biofuels industry tends not to rapidly thrive without significant external actions in the early years of its evolution. An initial focus for jumpstarting the industry typically has strongest results in the BSM in areas where effects of intervention have been identified to be multiplicative. In general, we find that policies which are coordinated across the whole supply chain have significant impact in fostering the growth of the biofuels industry and that the production of tens of billions of gallons of biofuels may occur under sufficiently favorable conditions.« less

Geodetic mass balance measurements on debris and clean-ice tropical glaciers in Ecuador

NASA Astrophysics Data System (ADS)

La Frenierre, J.; Decker, C. R.; Jordan, E.; Wigmore, O.; Hodge, B. E.; Niederriter, C.; Michels, A.

2017-12-01

Glaciers are recognized as highly sensitive indicators of climate change in high altitude, low latitude environments. In the tropical Andes, various analyses of glacier surface area change have helped illuminate the manifestation of climate change in this region, however, information about actual glacier mass balance behavior is much more limited given the relatively small glaciers, difficult access, poor weather, and/or limited local resources common here. Several new technologies, including aerial and terrestrial LIDAR and structure-from-motion photogrammetry using small unmanned aerial vehicles (UAVs), make mass balance measurements using geodetic approaches increasingly feasible in remote mountain locations, which can both further our understanding of changing climatic conditions, and improve our ability to evaluate the downstream hydrologic impacts of ice loss. At Volcán Chimborazo, Ecuador, these new technologies, combined with a unique, 5-meter resolution digital elevation model derived from 1997 aerial imagery, make possible an analysis of the magnitude and spatial patterns of mass balance behavior over the past two decades. Here, we evaluate ice loss between 1997 and 2017 at the tongues of two adjacent glaciers, one debris-covered and detached from its accumulation area (Reschreiter Glacier), and one debris-free and intact (Hans Meyer Glacier). Additionally, we incorporate data from 2012 and 2013 terrestrial LIDAR surveys to evaluate the behavior of the Reschreiter at a finer temporal resolution. We find that on the Hans Meyer, the mean surface deflation rate since 1997 at the present-day tongue has been nearly 3 m yr-1, while on the lower-elevation Reschreiter, the mean deflation rate has been approximately 1 m yr-1. However, the processes by which debris-covered ice becomes exposed results in highly heterogeneous patterns of ice loss, with some areas experiencing surface deflation rates approaching 15 m yr-1 when energy absorption is unimpeded.

Becoming allies: Combining social science and technological perspectives to improve energy research and policy making

DOE Office of Scientific and Technical Information (OSTI.GOV)

Diamond, Rick; Moezzi, Mithra

Within the energy research community, social sciences tends to be viewed fairly narrowly, often as simply a marketing tool to change the behavior of consumers and decision makers, and to ''attack market barriers''. As we see it, social sciences, which draws on sociology, psychology, political science, business administration, and other academic disciplines, is capable of far more. A social science perspective can re-align questions in ways that can lead to the development of technologies and technology policy that are much stronger and potentially more successful than they would be otherwise. In most energy policies governing commercial buildings, the prevailing Rmore » and D directives are firmly rooted in a technology framework, one that is generally more quantitative and evaluative than that fostered by the social sciences. To illustrate how social science thinking would approach the goal of achieving high energy performance in the commercial building sector, they focus on the US Department of Energy's Roadmap for commercial buildings (DOE 2000) as a starting point. By ''deconstructing'' the four strategies provided by the Roadmap, they set the stage for proposing a closer partnership between advocates of technology-based and social science-based approaches.« less

Physicians' adoption of information technology: a consumer behavior approach.

PubMed

Eger, M S; Godkin, R L; Valentine, S R

2001-01-01

Studies report physician resistance to information technology in a time when the practice of medicine could benefit from technological support. Anecdotally, it is suspected that lack of training, discomfort with technological innovations, a perceived shift in the doctor/patient relationship, or medical/legal issues may account for this circumstance. Empirical studies attribute this lag to age, personality factors, behavioral issues, and occupational influences. This paper integrates the information technology and consumer behavior literatures to discuss physicians' acceptance, adoption, and application of IT.

Research developments in methods to reduce the carbon footprint of the food system: a review.

PubMed

Xu, Zhongyue; Sun, Da-Wen; Zeng, Xin-An; Liu, Dan; Pu, Hongbin

2015-01-01

Global warming is a worldwide issue with its evident impact across a wide range of systems and sectors. It is caused by a number of greenhouse gases (GHGs) emissions, in which food system has made up of a large part. Recently, reduction of GHG emissions has become an urgent issue to be resolved in the food system. Many governments and organizations are making great endeavors to alleviate the adverse effect of this phenomenon. In this review, methods to reduce the carbon footprint within the life cycle of a food system are presented from the technical, consumption behavior and environmental policies perspectives. The whole food system including raw material acquisition, processing, packaging, preservation, transportation, consumption, and disposal are covered. Improving management techniques, and adopting advanced technology and equipment are critical for every stage of a food system. Rational site selection is important to alleviate the influence of land use change. In addition, environmental choices of packaging stage, reduction in refrigeration dependence, and correct waste treatment are essential to reduce the total carbon footprint of the production. However, only technical methods cannot radically reverse the trend of climate change, as consumption behaviors present a great deal of influence over climate change. Appropriate purchase patterns and substitution within food product categories by low carbon products can reduce GHG emissions. Development of methods to calculate the carbon footprint of every kind of food and its processing technology enable people to make environmental choice. Policy can shape and cultivate the new code of consumption and influence the direction of emerging technology and science. From political perspectives, government intervention and carbon offset are common tools, especially for carbon tax and a real or implicit price of carbon. Finally, by mitigating the methodologies described above, the rate and magnitude of climate changes can be also reduced to some extent.

From genetics to genomics: ethics, policy, and parental decision-making.

PubMed

Wilfond, Benjamin; Ross, Lainie Friedman

2009-07-01

Ethical evaluation of genetic testing in children is traditionally based on balancing clinical benefits and risks. However, this focus can be inconsistent with the general practice of respecting parental decision-making about their children's health care. We argue that respect for parental decision-making should play a larger role in shaping pediatric genetic testing practices, and play a similar role regarding decisions to use emerging genomic technologies. Genomic testing involves the examination of thousands of DNA markers spanning genes throughout the genome and their interrelationships, yielding virtually limitless interpretations. We presume that parents and providers should proceed cautiously in applying genomic testing in children, as we explore how genomic testing will stress the fault lines of the traditional ethical analysis. Empirical data about the psychosocial risks and benefits of genetic testing of children do not reveal serious harms, yet virtually no such data exist yet about genomic testing. Unless empirical social and behavioral data indicate that genomic testing is highly likely to cause serious harms to the children, parental decisions to obtain comprehensive genomic testing in their children should be respected. Once comprehensive genomic testing of children becomes routine, resultant information may be more easily integrated by families than anticipated. Research on the social and behavioral impact of comprehensive genomic testing on children and their families is needed to further inform parents, clinicians, and policy makers.

Internet and cell phone usage patterns among young adults with intellectual disabilities.

PubMed

Jenaro, Cristina; Flores, Noelia; Cruz, Maribel; Pérez, Ma Carmen; Vega, Vanessa; Torres, Víctor A

2018-03-01

The risks and opportunities associated with the use of technologies are of growing research interest. Patterns of technology usage illuminate these opportunities and risks. However, no studies have assessed the usage patterns (frequency, duration, and intensity) and related factors in young people with intellectual disabilities. Questionnaires on Internet and cell phone usage patterns, the Internet Over-Use Scale and the Cell-Phone Over-Use Scale, as well as the Beck Depression Inventory were filled out in one-on-one interviews of 216 youth with intellectual disabilities. Young people with disabilities make more social and recreational rather than educational use of these tools, and show higher rates of excessive use of both technologies than a comparison group of 410 young people without disabilities. Also, their overuse is associated with other unhealthy behaviors. The framework of support needs of people with disabilities should be considered to promote healthy Internet and cell phone use. © 2017 John Wiley & Sons Ltd.

AI and simulation: What can they learn from each other

NASA Technical Reports Server (NTRS)

Colombano, Silvano P.

1988-01-01

Simulation and Artificial Intelligence share a fertile common ground both from a practical and from a conceptual point of view. Strengths and weaknesses of both Knowledge Based System and Modeling and Simulation are examined and three types of systems that combine the strengths of both technologies are discussed. These types of systems are a practical starting point, however, the real strengths of both technologies will be exploited only when they are combined in a common knowledge representation paradigm. From an even deeper conceptual point of view, one might even argue that the ability to reason from a set of facts (i.e., Expert System) is less representative of human reasoning than the ability to make a model of the world, change it as required, and derive conclusions about the expected behavior of world entities. This is a fundamental problem in AI, and Modeling Theory can contribute to its solution. The application of Knowledge Engineering technology to a Distributed Processing Network Simulator (DPNS) is discussed.

When parsimony is not enough: Considering dual processes and dual levels of influence in sexual decision making

PubMed Central

Rendina, H. Jonathon

2015-01-01

The literature on sexual decision making that has been used to understand behaviors relevant to HIV and STI risk has relied primarily on cognitive antecedents of behavior. In contrast, several prominent models of decision making outside of the sexual behavior literature rely on dual process models, in which both affective and cognitive processing are considered important precursors to behavior. Moreover, much of the literature on sexual behavior utilizes individual-level traits and characteristics to predict aggregated sexual behavior, despite decision making itself being a situational or event-level process. This paper proposes a framework for understanding sexual decision making as the result of dual processes (affective and cognitive) operating at dual level of influence (individual and situational). Finally, the paper ends with a discussion of the conceptual and methodological benefits and challenges to its use and future directions for research. PMID:26168978

Utilization of the Building-Block Approach in Structural Mechanics Research

NASA Technical Reports Server (NTRS)

Rouse, Marshall; Jegley, Dawn C.; McGowan, David M.; Bush, Harold G.; Waters, W. Allen

2005-01-01

In the last 20 years NASA has worked in collaboration with industry to develop enabling technologies needed to make aircraft safer and more affordable, extend their lifetime, improve their reliability, better understand their behavior, and reduce their weight. To support these efforts, research programs starting with ideas and culminating in full-scale structural testing were conducted at the NASA Langley Research Center. Each program contained development efforts that (a) started with selecting the material system and manufacturing approach; (b) moved on to experimentation and analysis of small samples to characterize the system and quantify behavior in the presence of defects like damage and imperfections; (c) progressed on to examining larger structures to examine buckling behavior, combined loadings, and built-up structures; and (d) finally moved to complicated subcomponents and full-scale components. Each step along the way was supported by detailed analysis, including tool development, to prove that the behavior of these structures was well-understood and predictable. This approach for developing technology became known as the "building-block" approach. In the Advanced Composites Technology Program and the High Speed Research Program the building-block approach was used to develop a true understanding of the response of the structures involved through experimentation and analysis. The philosophy that if the structural response couldn't be accurately predicted, it wasn't really understood, was critical to the progression of these programs. To this end, analytical techniques including closed-form and finite elements were employed and experimentation used to verify assumptions at each step along the way. This paper presents a discussion of the utilization of the building-block approach described previously in structural mechanics research and development programs at NASA Langley Research Center. Specific examples that illustrate the use of this approach are included from recent research and development programs for both subsonic and supersonic transports.

Designing for Psychological Change: Individuals’ Reward and Cost Valuations in Weight Management

PubMed Central

Blandford, Ann

2014-01-01

Background Knowledge of the psychological constructs that underlie behavior offers valuable design opportunities for persuasive systems. We use the decision theory, which describes how behavior is underpinned by reward-cost valuations, as a framework for investigating such psychological constructs to deliver design objectives for weight management technologies. Objective We applied a decision theory–based analysis in the domain of weight management to understand the rewards and costs that surround individuals’ weight management behaviors, with the aim of uncovering design opportunities for weight management technologies. Methods We conducted qualitative interviews with 15 participants who were or had been trying to lose weight. Thematic analysis was used to extract themes that covered the rewards and costs surrounding weight management behaviors. We supplemented our qualitative study with a quantitative survey of 100 respondents investigating the extent to which they agreed with statements reflecting themes from the qualitative study. Results The primary obstacles to weight management were the rewards associated with unhealthy choices, such as the pleasures of unhealthy foods and unrestricted consumption in social situations, and the significant efforts required to change habits, plan, and exercise. Psychological constructs that supported positive weight management included feeling good after making healthy choices, being good to oneself, experiencing healthy yet still delicious foods, and receiving social support and encouraging messages (although opinions about encouraging messages was mixed). Conclusions A rewards-costs driven enquiry revealed a wide range of psychological constructs that contribute to discouraging and supporting weight management. The constructs extracted from our qualitative study were verified by our quantitative survey, in which the majority of respondents also reported similar thoughts and feelings. This understanding of the rewards and costs surrounding weight management offers a range of new opportunities for the design of weight management technologies that enhance the encouraging factors and alleviate the discouraging ones. PMID:24972304

Decision Aid to Technologically Enhance Shared decision making (DATES): study protocol for a randomized controlled trial

PubMed Central

2013-01-01

Background Clinicians face challenges in promoting colorectal cancer screening due to multiple competing demands. A decision aid that clarifies patient preferences and improves decision quality can aid shared decision making and be effective at increasing colorectal cancer screening rates. However, exactly how such an intervention improves shared decision making is unclear. This study, funded by the National Cancer Institute, seeks to provide detailed understanding of how an interactive decision aid that elicits patient’s risks and preferences impacts patient-clinician communication and shared decision making, and ultimately colorectal cancer screening adherence. Methods/Design This is a two-armed single-blinded randomized controlled trial with the target of 300 patients per arm. The setting is eleven community and three academic primary care practices in Metro Detroit. Patients are men and women aged between 50 and 75 years who are not up to date on colorectal cancer screening. ColoDATES Web (intervention arm), a decision aid that incorporates interactive personal risk assessment and preference clarification tools, is compared to a non-interactive website that matches ColoDATES Web in content but does not contain interactive tools (control arm). Primary outcomes are patient uptake of colorectal cancer screening; patient decision quality (knowledge, preference clarification, intent); clinician’s degree of shared decision making; and patient-clinician concordance in the screening test chosen. Secondary outcome incorporates a Structural Equation Modeling approach to understand the mechanism of the causal pathway and test the validity of the proposed conceptual model based on Theory of Planned Behavior. Clinicians and those performing the analysis are blinded to arms. Discussion The central hypothesis is that ColoDATES Web will improve colorectal cancer screening adherence through improvement in patient behavioral factors, shared decision making between the patient and the clinician, and concordance between the patient’s and clinician’s preferred colorectal cancer screening test. The results of this study will be among the first to examine the effect of a real-time preference assessment exercise on colorectal cancer screening and mediators, and, in doing so, will shed light on the patient-clinician communication and shared decision making ‘black box’ that currently exists between the delivery of decision aids to patients and subsequent patient behavior. Trial Registration ClinicalTrials.gov ID NCT01514786 PMID:24216139

Making Homes Part of the Climate Solution: Policy Options To Promote Energy Efficiency

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brown, Dr. Marilyn Ann; Chandler, Jess; Lapsa, Melissa Voss

In the area of energy efficiency, advanced technologies combined with best practices appear to afford not only large, but also cost-effective options to conserve energy and reduce greenhouse gas emissions (McKinsey & Company, 2007). In practice, however, the realization of this potential has often proven difficult. Progress appears to require large numbers of individuals to act knowledgeably, and each individual must often act with enabling assistance from others. Even when consumer education is effective and social norms are supportive, the actions of individuals and businesses can be impeded by a broad range of barriers, many of which are non-technical inmore » nature. Title XVI of the Energy Policy Act of 2005 included a mandate to examine barriers to progress and make recommendations in this regard. A detailed report on barriers as well as the National strategy for overcoming barriers met this requirement (Brown et al, 2008; CCCSTI, 2009). Following up on this mandate, the U.S. Climate Change Technology Program (CCTP) chose to focus next on the development of policy options to improve energy efficiency in residential buildings, with supporting analysis of pros and cons, informed in part by behavioral research. While this work is sponsored by CCTP, it has been undertaken in coordination with DOE's Building Technologies Program and Office of Electricity Delivery and Energy Reliability.« less

From genomes to societies: a holistic view of determinants of human health.

PubMed

Shi, Yuyan; Zhong, Sheng

2014-08-01

Both biological and social sciences have identified contributing factors to human health. However, health outcomes are unlikely to equal a simple sum of these identified factors. This article makes an attempt to put together the information, methods, and technologies that relate to health outcomes from biological, behavioral, and social disciplines. Much of this information was obtained by controlling for the variations of the factors in 'other' disciplines. For example, genetic factors were controlled for in identifying the behavioral determinants of health. Looking forward, better understandings of health outcomes may require exploiting the interactions of health determinants that were identified from different disciplines. We propose the concept of 'systems health' studies, which take health outcomes as the outputs of a system, where the inputs and their interactions from multiple disciplines are considered. Copyright © 2014 Elsevier Ltd. All rights reserved.

Symposium on Aviation Psychology, 1st, Ohio State University, Columbus, OH, April 21, 22, 1981, Proceedings

NASA Technical Reports Server (NTRS)

1981-01-01

The impact of modern technology on the role, responsibility, authority, and performance of human operators in modern aircraft and ATC systems was examined in terms of principles defined by Paul Fitts. Research into human factors in aircraft operations and the use of human factors engineering for aircraft safety improvements were discussed, and features of the man-machine interface in computerized cockpit warning systems are examined. The design and operational features of computerized avionics displays and HUDs are described, along with results of investigations into pilot decision-making behavior, aircrew procedural compliance, and aircrew judgment training programs. Experiments in vision and visual perception are detailed, as are behavioral studies of crew workload, coordination, and complement. The effectiveness of pilot selection, screening, and training techniques are assessed, as are methods for evaluating pilot performance.

An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer

PubMed Central

Dai, Chien-Yun; Chen, Hsiao-Ming; Chen, Wan-Fei; Wu, Chia-Huei; Li, Guodong; Wang, Jiangtao

2017-01-01

The purpose of this study was to explore the relationships among employees' usage intention pertaining to mobile information devices, focusing on subjective judgement, technology acceptance tendency, information sharing behavior and information transfer. A research model was established to verify several hypotheses. The research model based on integrated concepts of knowledge management and technology acceptance modeling. Participants were employees of enterprises in Taiwan, selected by combining snowball and convenience sampling. Data obtained from 779 e-surveys. Multiple-regression analysis was employed for hypothesis verification. The results indicate that perceived ease-of-use of mobile devices was affected by computer self-efficacy and computer playfulness directly; meanwhile, perceived ease-of-use directly affects perceived usefulness. In addition, perceived ease-of-use and perceived usefulness can predict information-sharing behavior in a positive manner, and impact knowledge transfer as well. Based on the research findings, it suggested that enterprises should utilize mobile information devices to create more contact with customers and enrich their service network. In addition, it is recommended that managers use mobile devices to transmit key information to their staff and that they use these devices for problem-solving and decision-making. Further, the staff’s skills pertaining to the operation of mobile information devices and to fully implement their features are reinforced in order to inspire the users' knowledge transfer. Enhancing the playfulness of the interface is also important. In general, it is useful to promote knowledge transfer behavior within an organization by motivating members to share information and ideas via mobile information devices. In addition, a well-designed interface can facilitate employees' use of these devices. PMID:28886088

An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer.

PubMed

Yuan, Yu-Hsi; Tsai, Sang-Bing; Dai, Chien-Yun; Chen, Hsiao-Ming; Chen, Wan-Fei; Wu, Chia-Huei; Li, Guodong; Wang, Jiangtao

2017-01-01

The purpose of this study was to explore the relationships among employees' usage intention pertaining to mobile information devices, focusing on subjective judgement, technology acceptance tendency, information sharing behavior and information transfer. A research model was established to verify several hypotheses. The research model based on integrated concepts of knowledge management and technology acceptance modeling. Participants were employees of enterprises in Taiwan, selected by combining snowball and convenience sampling. Data obtained from 779 e-surveys. Multiple-regression analysis was employed for hypothesis verification. The results indicate that perceived ease-of-use of mobile devices was affected by computer self-efficacy and computer playfulness directly; meanwhile, perceived ease-of-use directly affects perceived usefulness. In addition, perceived ease-of-use and perceived usefulness can predict information-sharing behavior in a positive manner, and impact knowledge transfer as well. Based on the research findings, it suggested that enterprises should utilize mobile information devices to create more contact with customers and enrich their service network. In addition, it is recommended that managers use mobile devices to transmit key information to their staff and that they use these devices for problem-solving and decision-making. Further, the staff's skills pertaining to the operation of mobile information devices and to fully implement their features are reinforced in order to inspire the users' knowledge transfer. Enhancing the playfulness of the interface is also important. In general, it is useful to promote knowledge transfer behavior within an organization by motivating members to share information and ideas via mobile information devices. In addition, a well-designed interface can facilitate employees' use of these devices.

Comparisons of Conceptual Preference for Cultural and Leadership Behavior in an Information Technology Organization

ERIC Educational Resources Information Center

Valley, Amina B.

2009-01-01

The primary focus of the research study conducted was to analyze the predictive leadership behaviors of Southern Asian and United States individuals in the information technology career field. This research validates the leadership traits and behaviors of information technology types of United States individuals that enhance the impact of…

Persuasive technology for health and wellness: State-of-the-art and emerging trends.

PubMed

Orji, Rita; Moffatt, Karyn

2018-03-01

The evolving field of persuasive and behavior change technology is increasingly targeted at influencing behavior in the area of health and wellness. This paper provides an empirical review of 16 years (85 papers) of literature on persuasive technology for health and wellness to: (1.) answer important questions regarding the effectiveness of persuasive technology for health and wellness, (2.) summarize and highlight trends in the technology design, research methods, motivational strategies, theories, and health behaviors targeted by research to date, (3.) uncover pitfalls of existing persuasive technological interventions for health and wellness, and (4.) suggest directions for future research.

The Idea to Promote the Development of E-Government in the Civil Aviation System

NASA Astrophysics Data System (ADS)

Renliang, Jiang

E-government has a significant impact on the organizational structure, working mechanism, operating methods and behavior patterns of the civil aviation administration department.The purpose of this research is to find some countermeasures propelling the electronization, network and office automation of the civil aviation system.The method used in the study was field and literature research.The studies showed that government departments in the civil aviation system could promote the development of e-government further by promoting open administration and implementing democratic and scientific decision-making, strengthening the popularization of information technology and information technology training on civil servants, paying attention to the integration and sharing of information resources, formulating a standard e-government system for the civil aviation system, developing the legal security system for the e-government and strengthening the network security.

How robust are distributed systems

NASA Technical Reports Server (NTRS)

Birman, Kenneth P.

1989-01-01

A distributed system is made up of large numbers of components operating asynchronously from one another and hence with imcomplete and inaccurate views of one another's state. Load fluctuations are common as new tasks arrive and active tasks terminate. Jointly, these aspects make it nearly impossible to arrive at detailed predictions for a system's behavior. It is important to the successful use of distributed systems in situations in which humans cannot provide the sorts of predictable realtime responsiveness of a computer, that the system be robust. The technology of today can too easily be affected by worn programs or by seemingly trivial mechanisms that, for example, can trigger stock market disasters. Inventors of a technology have an obligation to overcome flaws that can exact a human cost. A set of principles for guiding solutions to distributed computing problems is presented.

Geographic Visualization of Power-Grid Dynamics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sukumar, Sreenivas R.

2015-06-18

The visualization enables the simulation analyst to see changes in the frequency through time and space. With this technology, the analyst has a bird's eye view of the frequency at loads and generators as the simulated power system responds to the loss of a generator, spikes in load, and other contingencies. The significance of a contingency to the operation of an electrical power system depends critically on how the resulting tansients evolve in time and space. Consequently, these dynamic events can only be understood when seen in their proper geographic context. this understanding is indispensable to engineers working on themore » next generation of distributed sensing and control systems for the smart grid. By making possible a natural and intuitive presentation of dynamic behavior, our new visualization technology is a situational-awareness tool for power-system engineers.« less

Model Checking for Verification of Interactive Health IT Systems

PubMed Central

Butler, Keith A.; Mercer, Eric; Bahrami, Ali; Tao, Cui

2015-01-01

Rigorous methods for design and verification of health IT systems have lagged far behind their proliferation. The inherent technical complexity of healthcare, combined with the added complexity of health information technology makes their resulting behavior unpredictable and introduces serious risk. We propose to mitigate this risk by formalizing the relationship between HIT and the conceptual work that increasingly typifies modern care. We introduce new techniques for modeling clinical workflows and the conceptual products within them that allow established, powerful modeling checking technology to be applied to interactive health IT systems. The new capability can evaluate the workflows of a new HIT system performed by clinicians and computers to improve safety and reliability. We demonstrate the method on a patient contact system to demonstrate model checking is effective for interactive systems and that much of it can be automated. PMID:26958166

A Systematic and Integrated Review of Mobile-Based Technology to Promote Active Lifestyles in People With Type 2 Diabetes.

PubMed

McMillan, Kathryn Anne; Kirk, Alison; Hewitt, Allan; MacRury, Sandra

2017-03-01

The aim was to review studies examining the effectiveness, acceptability, and feasibility of mobile-based technology for promoting active lifestyles in people with type 2 diabetes (T2D). Benefits of leading an active lifestyle following a diagnosis of T2D, including improved glycemic control, have been reported. Studies examining the specific use of mobile-based technologies to promote an active lifestyle in T2D have not previously been reviewed. Research studies examining effectiveness, feasibility or acceptability of mobile-based technology for active lifestyle promotion for T2D management were included (n = 9). The databases searched included PubMed, Medline, ScienceDirect, and ACM Digital Library (January 2005 to October 2015). Studies were categorized as (1) informing, (2) monitoring, (3) provoking, or (4) sustaining behavior change. Technologies used included smartphone or tablet apps, diabetes personal digital assistant, continuous glucose monitor and accelerometer, pedometer, and a website delivered by a smartphone. No articles examined the effectiveness of mobile-based technology in monitoring health behaviors and behavior change. Four of the studies found mobile-based technology to be motivational and supportive for behavior change. The visual reinforcement was identified as motivational. The feasibility and acceptability of using mobile-based technology to provide sustained lifestyle change and the effectiveness of mobile-based technology in monitoring health behaviors and behavior change have not been investigated. No studies examined all 3 of the outcomes or focused decreasing the participants' sedentary behavior. Limited research has examined the feasibility, acceptability, and effectiveness of mobile-based technology to promote active lifestyles and subsequently good diabetes management in people with T2D.

Biologically inspired intelligent robots

NASA Astrophysics Data System (ADS)

Bar-Cohen, Yoseph; Breazeal, Cynthia

2003-07-01

Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of biologically inspired technology, having the moniker biomimetics, has evolved from making static copies of human and animals in the form of statues to the emergence of robots that operate with realistic behavior. Imagine a person walking towards you where suddenly you notice something weird about him--he is not real but rather he is a robot. Your reaction would probably be "I can't believe it but this robot looks very real" just as you would react to an artificial flower that is a good imitation. You may even proceed and touch the robot to check if your assessment is correct but, as oppose to the flower case, the robot may be programmed to respond physical and verbally. This science fiction scenario could become a reality as the current trend continues in developing biologically inspired technologies. Technology evolution led to such fields as artificial muscles, artificial intelligence, and artificial vision as well as biomimetic capabilities in materials science, mechanics, electronics, computing science, information technology and many others. This paper will review the state of the art and challenges to biologically-inspired technologies and the role that EAP is expected to play as the technology evolves.

Pervasive Computing Technologies to Continuously Assess Alzheimer's Disease Progression and Intervention Efficacy.

PubMed

Lyons, Bayard E; Austin, Daniel; Seelye, Adriana; Petersen, Johanna; Yeargers, Jonathan; Riley, Thomas; Sharma, Nicole; Mattek, Nora; Wild, Katherine; Dodge, Hiroko; Kaye, Jeffrey A

2015-01-01

Traditionally, assessment of functional and cognitive status of individuals with dementia occurs in brief clinic visits during which time clinicians extract a snapshot of recent changes in individuals' health. Conventionally, this is done using various clinical assessment tools applied at the point of care and relies on patients' and caregivers' ability to accurately recall daily activity and trends in personal health. These practices suffer from the infrequency and generally short durations of visits. Since 2004, researchers at the Oregon Center for Aging and Technology (ORCATECH) at the Oregon Health and Science University have been working on developing technologies to transform this model. ORCATECH researchers have developed a system of continuous in-home monitoring using pervasive computing technologies that make it possible to more accurately track activities and behaviors and measure relevant intra-individual changes. We have installed a system of strategically placed sensors in over 480 homes and have been collecting data for up to 8 years. Using this continuous in-home monitoring system, ORCATECH researchers have collected data on multiple behaviors such as gait and mobility, sleep and activity patterns, medication adherence, and computer use. Patterns of intra-individual variation detected in each of these areas are used to predict outcomes such as low mood, loneliness, and cognitive function. These methods have the potential to improve the quality of patient health data and in turn patient care especially related to cognitive decline. Furthermore, the continuous real-world nature of the data may improve the efficiency and ecological validity of clinical intervention studies.

Pervasive Computing Technologies to Continuously Assess Alzheimer’s Disease Progression and Intervention Efficacy

PubMed Central

Lyons, Bayard E.; Austin, Daniel; Seelye, Adriana; Petersen, Johanna; Yeargers, Jonathan; Riley, Thomas; Sharma, Nicole; Mattek, Nora; Wild, Katherine; Dodge, Hiroko; Kaye, Jeffrey A.

2015-01-01

Traditionally, assessment of functional and cognitive status of individuals with dementia occurs in brief clinic visits during which time clinicians extract a snapshot of recent changes in individuals’ health. Conventionally, this is done using various clinical assessment tools applied at the point of care and relies on patients’ and caregivers’ ability to accurately recall daily activity and trends in personal health. These practices suffer from the infrequency and generally short durations of visits. Since 2004, researchers at the Oregon Center for Aging and Technology (ORCATECH) at the Oregon Health and Science University have been working on developing technologies to transform this model. ORCATECH researchers have developed a system of continuous in-home monitoring using pervasive computing technologies that make it possible to more accurately track activities and behaviors and measure relevant intra-individual changes. We have installed a system of strategically placed sensors in over 480 homes and have been collecting data for up to 8 years. Using this continuous in-home monitoring system, ORCATECH researchers have collected data on multiple behaviors such as gait and mobility, sleep and activity patterns, medication adherence, and computer use. Patterns of intra-individual variation detected in each of these areas are used to predict outcomes such as low mood, loneliness, and cognitive function. These methods have the potential to improve the quality of patient health data and in turn patient care especially related to cognitive decline. Furthermore, the continuous real-world nature of the data may improve the efficiency and ecological validity of clinical intervention studies. PMID:26113819

Technologies for Assessing Behavioral and Cognitive Markers of Suicide Risk

DTIC Science & Technology

2016-10-01

the annual conference of the Association for Behavioral and Cognitive Therapies in New York, NY October 27, 2016 – October 30, 2016. How were the...AWARD NUMBER: W81XWH-15-1-0632 TITLE: Technologies for Assessing Behavioral and Cognitive Markers of Suicide Risk PRINCIPAL INVESTIGATOR: Brian...CONTRACT NUMBER Technologies for Assessing Behavioral and Cognitive Markers of Suicide Risk 5b. GRANT NUMBER W81XWH-15-1-0632 5c. PROGRAM ELEMENT

Combining simulation, instructor-produced videos, and online discussions to stimulate critical thinking in nursing students.

PubMed

Guhde, Jacqueline

2010-01-01

Combining the use of several different types of technology enables an instructor to develop teaching methods to address a specific problem area that students encounter and can greatly affect student learning. This article discusses a program that was developed that utilized SimMan, instructor-produced videos, and online discussion to stimulate critical thinking in beginning-level nursing students. The goal was to make the student aware of the importance of an initial thorough assessment of a client. This is especially difficult since new students are focused on learning the skills and have not had enough clinical experience to appreciate the importance of assessment. The first two videos show a nurse who makes a very incomplete assessment of the client and misses important observations. This leads to the patient (SimMan) going into respiratory distress. The third video demonstrates a complete assessment. The students viewed and discussed the first two videos online. After the third video, students posted their own reflections of this activity including what they learned and how this would change their behavior. The outcome showed an increased awareness of the importance of assessment. Instructors observed a change in behavior, which included early assessment of the client.

Agents That Negotiate Proficiently with People

NASA Astrophysics Data System (ADS)

Kraus, Sarit

Negotiation is a process by which interested parties confer with the aim of reaching agreements. The dissemination of technologies such as the Internet has created opportunities for computer agents to negotiate with people, despite being distributed geographically and in time. The inclusion of people presents novel problems for the design of autonomous agent negotiation strategies. People do not adhere to the optimal, monolithic strategies that can be derived analytically, as is the case in settings comprising computer agents alone. Their negotiation behavior is affected by a multitude of social and psychological factors, such as social attributes that influence negotiation deals (e.g., social welfare, inequity aversion) and traits of individual negotiators (e.g., altruism, trustworthiness, helpfulness). Furthermore, culture plays an important role in their decision making and people of varying cultures differ in the way they make offers and fulfill their commitments in negotiation.

Theory of Planned Behavior and Teachers' Decisions regarding Use of Educational Technology

ERIC Educational Resources Information Center

Lee, Jung; Cerreto, Frank A.; Lee, Jihyun

2010-01-01

According to Ajzen's Theory of Planned Behavior (TPB), behavioral intention (BI) is predicted by attitude toward the behavior (AB), subjective norm (SN), and perceived behavioral control (PBC). Previous studies using the TPB to explain teachers' intentions to use technology have resulted in inconsistent findings. This inconsistency might be due to…

Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language: Computational techniques are presented to analyze and model expressed and perceived human behavior-variedly characterized as typical, atypical, distressed, and disordered-from speech and language cues and their applications in health, commerce, education, and beyond.

PubMed

Narayanan, Shrikanth; Georgiou, Panayiotis G

2013-02-07

The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion.

Virtues, ecological momentary assessment/intervention and smartphone technology.

PubMed

Runyan, Jason D; Steinke, Ellen G

2015-01-01

Virtues, broadly understood as stable and robust dispositions for certain responses across morally relevant situations, have been a growing topic of interest in psychology. A central topic of discussion has been whether studies showing that situations can strongly influence our responses provide evidence against the existence of virtues (as a kind of stable and robust disposition). In this review, we examine reasons for thinking that the prevailing methods for examining situational influences are limited in their ability to test dispositional stability and robustness; or, then, whether virtues exist. We make the case that these limitations can be addressed by aggregating repeated, cross-situational assessments of environmental, psychological and physiological variables within everyday life-a form of assessment often called ecological momentary assessment (EMA, or experience sampling). We, then, examine how advances in smartphone application (app) technology, and their mass adoption, make these mobile devices an unprecedented vehicle for EMA and, thus, the psychological study of virtue. We, additionally, examine how smartphones might be used for virtue development by promoting changes in thought and behavior within daily life; a technique often called ecological momentary intervention (EMI). While EMA/I have become widely employed since the 1980s for the purposes of understanding and promoting change amongst clinical populations, few EMA/I studies have been devoted to understanding or promoting virtues within non-clinical populations. Further, most EMA/I studies have relied on journaling, PDAs, phone calls and/or text messaging systems. We explore how smartphone app technology provides a means of making EMA a more robust psychological method, EMI a more robust way of promoting positive change, and, as a result, opens up new possibilities for studying and promoting virtues.

Making learning whole: an instructional approach for mediating the practices of authentic science inquiries

NASA Astrophysics Data System (ADS)

Liljeström, Anu; Enkenberg, Jorma; Pöllänen, Sinikka

2013-03-01

This design experiment aimed to answer the question of how to mediate the practices of authentic science inquiries in primary education. An instructional approach based on activity theory was designed and carried out with multi-age students in a small village school. An open-ended learning task was offered to the older students. Their task was to design and implement instruction about the Ice Age to their younger fellows. The objective was collaborative learning among students, the teacher, and outside domain experts. Mobile phones and GPS technologies were applied as the main technological mediators in the learning process. Technology provided an opportunity to expand the learning environment outside the classroom, including the natural environment. Empirically, the goal was to answer the following questions: What kind of learning project emerged? How did the students' knowledge develop? What kinds of science learning processes, activities, and practices were represented? Multiple and parallel data were collected to achieve this aim. The data analysis revealed that the learning project both challenged the students to develop explanations for the phenomena and generated high quality conceptual and physical models in question. During the learning project, the roles of the community members were shaped, mixed, and integrated. The teacher also repeatedly evaluated and adjusted her behavior. The confidence of the learners in their abilities raised the quality of their learning outcomes. The findings showed that this instructional approach can not only mediate the kind of authentic practices that scientists apply but also make learning more holistic than it has been. Thus, it can be concluded that nature of the task, the tool-integrated collaborative inquiries in the natural environment, and the multiage setting can make learning whole.

Virtues, ecological momentary assessment/intervention and smartphone technology

PubMed Central

Runyan, Jason D.; Steinke, Ellen G.

2015-01-01

Virtues, broadly understood as stable and robust dispositions for certain responses across morally relevant situations, have been a growing topic of interest in psychology. A central topic of discussion has been whether studies showing that situations can strongly influence our responses provide evidence against the existence of virtues (as a kind of stable and robust disposition). In this review, we examine reasons for thinking that the prevailing methods for examining situational influences are limited in their ability to test dispositional stability and robustness; or, then, whether virtues exist. We make the case that these limitations can be addressed by aggregating repeated, cross-situational assessments of environmental, psychological and physiological variables within everyday life—a form of assessment often called ecological momentary assessment (EMA, or experience sampling). We, then, examine how advances in smartphone application (app) technology, and their mass adoption, make these mobile devices an unprecedented vehicle for EMA and, thus, the psychological study of virtue. We, additionally, examine how smartphones might be used for virtue development by promoting changes in thought and behavior within daily life; a technique often called ecological momentary intervention (EMI). While EMA/I have become widely employed since the 1980s for the purposes of understanding and promoting change amongst clinical populations, few EMA/I studies have been devoted to understanding or promoting virtues within non-clinical populations. Further, most EMA/I studies have relied on journaling, PDAs, phone calls and/or text messaging systems. We explore how smartphone app technology provides a means of making EMA a more robust psychological method, EMI a more robust way of promoting positive change, and, as a result, opens up new possibilities for studying and promoting virtues. PMID:25999869

Decisions Nonindustrial Forest Landowners Make: An Empirical Examination

Treesearch

M. Christine Conway; Gregory S. Amacher; Jay Sullivan; David Wear

2003-01-01

Our purpose is to estimate a model of non-industrial forest landowner behavior that considers certain types of behavior that have escaped discussion and rigorous investigation in the literature, yet which are critical to future policy making. Our focus on the many different but related decisions landowners make broadens the typical understanding of landowner behavior...

The Use of Behavior Change Techniques and Theory in Technologies for Cardiovascular Disease Prevention and Treatment in Adults: A Comprehensive Review.

PubMed

Winter, Sandra J; Sheats, Jylana L; King, Abby C

2016-01-01

This review examined the use of health behavior change techniques and theory in technology-enabled interventions targeting risk factors and indicators for cardiovascular disease (CVD) prevention and treatment. Articles targeting physical activity, weight loss, smoking cessation and management of hypertension, lipids and blood glucose were sourced from PubMed (November 2010-2015) and coded for use of 1) technology, 2) health behavior change techniques (using the CALO-RE taxonomy), and 3) health behavior theories. Of the 984 articles reviewed, 304 were relevant (240=intervention, 64=review). Twenty-two different technologies were used (M=1.45, SD=+/-0.719). The most frequently used behavior change techniques were self-monitoring and feedback on performance (M=5.4, SD=+/-2.9). Half (52%) of the intervention studies named a theory/model - most frequently Social Cognitive Theory, the Trans-theoretical Model, and the Theory of Planned Behavior/Reasoned Action. To optimize technology-enabled interventions targeting CVD risk factors, integrated behavior change theories that incorporate a variety of evidence-based health behavior change techniques are needed. Copyright © 2016 Elsevier Inc. All rights reserved.

Comprehension of Spacecraft Telemetry Using Hierarchical Specifications of Behavior

NASA Technical Reports Server (NTRS)

Havelund, Klaus; Joshi, Rajeev

2014-01-01

A key challenge in operating remote spacecraft is that ground operators must rely on the limited visibility available through spacecraft telemetry in order to assess spacecraft health and operational status. We describe a tool for processing spacecraft telemetry that allows ground operators to impose structure on received telemetry in order to achieve a better comprehension of system state. A key element of our approach is the design of a domain-specific language that allows operators to express models of expected system behavior using partial specifications. The language allows behavior specifications with data fields, similar to other recent runtime verification systems. What is notable about our approach is the ability to develop hierarchical specifications of behavior. The language is implemented as an internal DSL in the Scala programming language that synthesizes rules from patterns of specification behavior. The rules are automatically applied to received telemetry and the inferred behaviors are available to ground operators using a visualization interface that makes it easier to understand and track spacecraft state. We describe initial results from applying our tool to telemetry received from the Curiosity rover currently roving the surface of Mars, where the visualizations are being used to trend subsystem behaviors, in order to identify potential problems before they happen. However, the technology is completely general and can be applied to any system that generates telemetry such as event logs.

eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management.

PubMed

Rollo, Megan E; Aguiar, Elroy J; Williams, Rebecca L; Wynne, Katie; Kriss, Michelle; Callister, Robin; Collins, Clare E

2016-01-01

Diabetes is a chronic, complex condition requiring sound knowledge and self-management skills to optimize glycemic control and health outcomes. Dietary intake and physical activity are key diabetes self-management (DSM) behaviors that require tailored education and support. Electronic health (eHealth) technologies have a demonstrated potential for assisting individuals with DSM behaviors. This review provides examples of technologies used to support nutrition and physical activity behaviors in the context of DSM. Technologies covered include those widely used for DSM, such as web-based programs and mobile phone and smartphone applications. In addition, examples of novel tools such as virtual and augmented reality, video games, computer vision for dietary carbohydrate monitoring, and wearable devices are provided. The challenges to, and facilitators for, the use of eHealth technologies in DSM are discussed. Strategies to support the implementation of eHealth technologies within practice and suggestions for future research to enhance nutrition and physical activity behaviors as a part of broader DSM are provided.

eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management

PubMed Central

Rollo, Megan E; Aguiar, Elroy J; Williams, Rebecca L; Wynne, Katie; Kriss, Michelle; Callister, Robin; Collins, Clare E

2016-01-01

Diabetes is a chronic, complex condition requiring sound knowledge and self-management skills to optimize glycemic control and health outcomes. Dietary intake and physical activity are key diabetes self-management (DSM) behaviors that require tailored education and support. Electronic health (eHealth) technologies have a demonstrated potential for assisting individuals with DSM behaviors. This review provides examples of technologies used to support nutrition and physical activity behaviors in the context of DSM. Technologies covered include those widely used for DSM, such as web-based programs and mobile phone and smartphone applications. In addition, examples of novel tools such as virtual and augmented reality, video games, computer vision for dietary carbohydrate monitoring, and wearable devices are provided. The challenges to, and facilitators for, the use of eHealth technologies in DSM are discussed. Strategies to support the implementation of eHealth technologies within practice and suggestions for future research to enhance nutrition and physical activity behaviors as a part of broader DSM are provided. PMID:27853384

Molecular engineering of colloidal liquid crystals using DNA origami

NASA Astrophysics Data System (ADS)

Siavashpouri, Mahsa; Wachauf, Christian; Zakhary, Mark; Praetorius, Florian; Dietz, Hendrik; Dogic, Zvonimir

Understanding the microscopic origin of cholesteric phase remains a foundational, yet unresolved problem in the field of liquid crystals. Lack of experimental model system that allows for the systematic control of the microscopic chiral structure makes it difficult to investigate this problem for several years. Here, using DNA origami technology, we systematically vary the chirality of the colloidal particles with molecular precision and establish a quantitative relationship between the microscopic structure of particles and the macroscopic cholesteric pitch. Our study presents a new methodology for predicting bulk behavior of diverse phases based on the microscopic architectures of the constituent molecules.

The Space Station decision - Politics, bureaucracy, and the making of public policy

NASA Technical Reports Server (NTRS)

Mccurdy, Howard E.

1991-01-01

The lack of consensus that dominates the conception of major scientific and technological programs is demonstrated via a comparison of the decisions to build the Space Station and the Space Transportation System, and the decision to go to the moon. It is argued that the way political reality conditions administrative behavior in NASA is shown by the decision to promote international cooperation prior to program approval. It is concluded that so long as NASA remains a government agency, its officials will struggle to learn how to balance professional accountability with political reality.

INTEGRATING TECHNOLOGICAL ADVANCEMENTS IN BEHAVIORAL INTERVENTIONS TO PROMOTE HEALTH: UNPRECEDENTED OPORTUNITIES FOR BEHAVIOR ANALYSTS

PubMed Central

KURTI, ALLISON N.; DALLERY, JESSE

2015-01-01

The use of mobile devices is growing worldwide in both industrialized and developing nations. Alongside the worldwide penetration of web-enabled devices, the leading causes of morbidity and mortality are increasingly modifiable lifestyle factors (e.g., improving one’s diet and exercising more). Behavior analysts have the opportunity to promote health by combining effective behavioral methods with technological advancements. The objectives of this paper are (1) to highlight the public health gains that may be achieved by integrating technology with a behavior analytic approach to developing interventions, and (2) to review some of the currently, under-examined issues related to merging technology and behavior analysis (enhancing sustainability, obtaining frequent measures of behavior, conducting component analyses, evaluating cost-effectiveness, incorporating behavior analysis in the creation of consumer-based applications, and reducing health disparities). Thorough consideration of these issues may inspire the development, implementation, and dissemination of innovative, efficacious interventions that substantially improve global public health. PMID:25774070

Maternal Nicotine Exposure During Late Gestation and Lactation Increases Anxiety-Like and Impulsive Decision-Making Behavior in Adolescent Offspring of Rat.

PubMed

Lee, Hyunchan; Chung, Sooyeon; Noh, Jihyun

2016-10-01

Prenatal nicotine exposure over an entire pregnancy has been associated with an increased prevalence of hyperactivity, anxiety-like behavior and depression-like behavior in mature rats. However, the effects of maternal nicotine exposure in late gestation and lactation on the psychology and behavior of adolescent rat offspring are unclear. Thus, we investigated the effect of nicotine exposure during late gestation and lactation on anxiety-like and impulsive decision-making behavior in adolescent offspring of rat. Female rats were orally exposed to nicotine which is within range of plasma level of human chronic smokers during the period of third last period of gestation and lactation. When the offspring were weaned, we observed alterations in the anxiety-like behavior and decision-making ability of adolescent rat offspring using light/dark box test and T-maze delay-based cost-benefit decision-making task. The maternal consumption of nicotine reduced both the time spent in the light compartment and the number of transitions compared to nicotine-free rats. Moreover, such nicotine exposed adolescent offspring rats showed impulsive decision making which chose the instant reward in a decision-making situation. We found that nicotine exposure during late gestation and lactation induces an increase in anxiety-like and impulsive decision-making behavior at this developmental stage. These findings suggest that maternal nicotine-exposed offspring are at an increased risk of developing anxious and impulsive behavior.

ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT

PubMed Central

Helu, Moneer; Libes, Don; Lubell, Joshua; Lyons, Kevin; Morris, KC

2017-01-01

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies. PMID:28649678

Active assistance technology for health-related behavior change: an interdisciplinary review.

PubMed

Kennedy, Catriona M; Powell, John; Payne, Thomas H; Ainsworth, John; Boyd, Alan; Buchan, Iain

2012-06-14

Information technology can help individuals to change their health behaviors. This is due to its potential for dynamic and unbiased information processing enabling users to monitor their own progress and be informed about risks and opportunities specific to evolving contexts and motivations. However, in many behavior change interventions, information technology is underused by treating it as a passive medium focused on efficient transmission of information and a positive user experience. To conduct an interdisciplinary literature review to determine the extent to which the active technological capabilities of dynamic and adaptive information processing are being applied in behavior change interventions and to identify their role in these interventions. We defined key categories of active technology such as semantic information processing, pattern recognition, and adaptation. We conducted the literature search using keywords derived from the categories and included studies that indicated a significant role for an active technology in health-related behavior change. In the data extraction, we looked specifically for the following technology roles: (1) dynamic adaptive tailoring of messages depending on context, (2) interactive education, (3) support for client self-monitoring of behavior change progress, and (4) novel ways in which interventions are grounded in behavior change theories using active technology. The search returned 228 potentially relevant articles, of which 41 satisfied the inclusion criteria. We found that significant research was focused on dialog systems, embodied conversational agents, and activity recognition. The most covered health topic was physical activity. The majority of the studies were early-stage research. Only 6 were randomized controlled trials, of which 4 were positive for behavior change and 5 were positive for acceptability. Empathy and relational behavior were significant research themes in dialog systems for behavior change, with many pilot studies showing a preference for those features. We found few studies that focused on interactive education (3 studies) and self-monitoring (2 studies). Some recent research is emerging in dynamic tailoring (15 studies) and theoretically grounded ontologies for automated semantic processing (4 studies). The potential capabilities and risks of active assistance technologies are not being fully explored in most current behavior change research. Designers of health behavior interventions need to consider the relevant informatics methods and algorithms more fully. There is also a need to analyze the possibilities that can result from interaction between different technology components. This requires deep interdisciplinary collaboration, for example, between health psychology, computer science, health informatics, cognitive science, and educational methodology.

Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review

PubMed Central

Kennedy, Catriona M; Powell, John; Payne, Thomas H; Ainsworth, John; Boyd, Alan

2012-01-01

Background Information technology can help individuals to change their health behaviors. This is due to its potential for dynamic and unbiased information processing enabling users to monitor their own progress and be informed about risks and opportunities specific to evolving contexts and motivations. However, in many behavior change interventions, information technology is underused by treating it as a passive medium focused on efficient transmission of information and a positive user experience. Objective To conduct an interdisciplinary literature review to determine the extent to which the active technological capabilities of dynamic and adaptive information processing are being applied in behavior change interventions and to identify their role in these interventions. Methods We defined key categories of active technology such as semantic information processing, pattern recognition, and adaptation. We conducted the literature search using keywords derived from the categories and included studies that indicated a significant role for an active technology in health-related behavior change. In the data extraction, we looked specifically for the following technology roles: (1) dynamic adaptive tailoring of messages depending on context, (2) interactive education, (3) support for client self-monitoring of behavior change progress, and (4) novel ways in which interventions are grounded in behavior change theories using active technology. Results The search returned 228 potentially relevant articles, of which 41 satisfied the inclusion criteria. We found that significant research was focused on dialog systems, embodied conversational agents, and activity recognition. The most covered health topic was physical activity. The majority of the studies were early-stage research. Only 6 were randomized controlled trials, of which 4 were positive for behavior change and 5 were positive for acceptability. Empathy and relational behavior were significant research themes in dialog systems for behavior change, with many pilot studies showing a preference for those features. We found few studies that focused on interactive education (3 studies) and self-monitoring (2 studies). Some recent research is emerging in dynamic tailoring (15 studies) and theoretically grounded ontologies for automated semantic processing (4 studies). Conclusions The potential capabilities and risks of active assistance technologies are not being fully explored in most current behavior change research. Designers of health behavior interventions need to consider the relevant informatics methods and algorithms more fully. There is also a need to analyze the possibilities that can result from interaction between different technology components. This requires deep interdisciplinary collaboration, for example, between health psychology, computer science, health informatics, cognitive science, and educational methodology. PMID:22698679

Real-Time Decision Making and Aggressive Behavior in Youth: A Heuristic Model of Response Evaluation and Decision (RED)

PubMed Central

Fontaine, Reid Griffith; Dodge, Kenneth A.

2009-01-01

Considerable scientific and intervention attention has been paid to judgment and decision-making systems associated with aggressive behavior in youth. However, most empirical studies have investigated social-cognitive correlates of stable child and adolescent aggressiveness, and less is known about real-time decision making to engage in aggressive behavior. A model of real-time decision making must incorporate both impulsive actions and rational thought. The present paper advances a process model (response evaluation and decision; RED) of real-time behavioral judgments and decision making in aggressive youths with mathematic representations that may be used to quantify response strength. These components are a heuristic to describe decision making, though it is doubtful that individuals always mentally complete these steps. RED represents an organization of social–cognitive operations believed to be active during the response decision step of social information processing. The model posits that RED processes can be circumvented through impulsive responding. This article provides a description and integration of thoughtful, rational decision making and nonrational impulsivity in aggressive behavioral interactions. PMID:20802851

Real-Time Decision Making and Aggressive Behavior in Youth: A Heuristic Model of Response Evaluation and Decision (RED).

PubMed

Fontaine, Reid Griffith; Dodge, Kenneth A

2006-11-01

Considerable scientific and intervention attention has been paid to judgment and decision-making systems associated with aggressive behavior in youth. However, most empirical studies have investigated social-cognitive correlates of stable child and adolescent aggressiveness, and less is known about real-time decision making to engage in aggressive behavior. A model of real-time decision making must incorporate both impulsive actions and rational thought. The present paper advances a process model (response evaluation and decision; RED) of real-time behavioral judgments and decision making in aggressive youths with mathematic representations that may be used to quantify response strength. These components are a heuristic to describe decision making, though it is doubtful that individuals always mentally complete these steps. RED represents an organization of social-cognitive operations believed to be active during the response decision step of social information processing. The model posits that RED processes can be circumvented through impulsive responding. This article provides a description and integration of thoughtful, rational decision making and nonrational impulsivity in aggressive behavioral interactions.

Technological Leadership Behavior of Elementary School Principals in the Process of Supply and Use of Educational Technologies

ERIC Educational Resources Information Center

Sisman Eren, Esra; Kurt, Adile Askim

2011-01-01

The purpose of this study is to examine the technological leadership behaviors of Turkish elementary school regarding the supply and use of educational technologies based on the national educational technology standards developed and approved for school principals in many countries. The study was carried out with 870 elementary school principals…

On-line social decision making and antisocial behavior: some essential but neglected issues.

PubMed

Fontaine, Reid Griffith

2008-01-01

The last quarter century has witnessed considerable progress in the scientific study of social information processing (SIP) and aggressive behavior in children. SIP research has shown that social decision making in youth is particularly predictive of antisocial behavior, especially as children enter and progress through adolescence. In furtherance of this research, more sophisticated, elaborate models of on-line social decision making have been developed, by which various domains of evaluative judgment are hypothesized to account for both responsive decision making and behavior, as well as self-initiated, instrumental functioning. However, discussions of these models have neglected a number of key issues. In particular, the roles of nonconscious cognitive factors, learning and development, impulsivity and behavioral disinhibition, emotion, and other internal and external factors (e.g., pharmacological influences and audience effects) have been largely absent from scholarly writings. In response, this article introduces discussion of these factors and reviews their possible roles in on-line social decision making and antisocial behavior in youth.

Creating successful price and placement strategies for social marketing.

PubMed

Thackeray, Rosemary; Brown, Kelli R McCormack

2010-03-01

A successful marketing strategy includes the design of a marketing mix with the right combination of products, offered at the right price, in the right place, and then promoted in such a way that makes it easy and rewarding for the individual to change his or her behavior. A price is incurred in exchange for receiving a bundle of benefits. The social marketer can use various pricing tactics to make the desired behavior appear to have fewer costs and more benefits while making the undesired behavior to have less benefit and greater cost. Place is where and when the target population will perform the desired behavior, purchase or obtain a tangible product, and/or receive associated services. Involving partners in the placement strategy can make products more accessible and increase opportunities for people to perform a behavior. Strategies for making the product available at a desirable price and in places that are convenient are integral to the overall social marketing plan to facilitate behavior change.

Behavior: My Problem or Yours?

ERIC Educational Resources Information Center

Trede, Mildred

1991-01-01

Activities are described for learning about problem classroom behaviors, the impact of one's manner of attire on one's behavior, and personal responsibility for one's behavior. Learning activities include role playing, making math puzzles, writing personal anecdotes, drawing a persuasive cartoon concerning smoking and discipline, and making bar…

Cost-effectiveness analysis and innovation.

PubMed

Jena, Anupam B; Philipson, Tomas J

2008-09-01

While cost-effectiveness (CE) analysis has provided a guide to allocating often scarce resources spent on medical technologies, less emphasis has been placed on the effect of such criteria on the behavior of innovators who make health care technologies available in the first place. A better understanding of the link between innovation and cost-effectiveness analysis is particularly important given the large role of technological change in the growth in health care spending and the growing interest of explicit use of CE thresholds in leading technology adoption in several Westernized countries. We analyze CE analysis in a standard market context, and stress that a technology's cost-effectiveness is closely related to the consumer surplus it generates. Improved CE therefore often clashes with interventions to stimulate producer surplus, such as patents. We derive the inconsistency between technology adoption based on CE analysis and economic efficiency. Indeed, static efficiency, dynamic efficiency, and improved patient health may all be induced by the cost-effectiveness of the technology being at its worst level. As producer appropriation of the social surplus of an innovation is central to the dynamic efficiency that should guide CE adoption criteria, we exemplify how appropriation can be inferred from existing CE estimates. For an illustrative sample of technologies considered, we find that the median technology has an appropriation of about 15%. To the extent that such incentives are deemed either too low or too high compared to dynamically efficient levels, CE thresholds may be appropriately raised or lowered to improve dynamic efficiency.

Neuroscientific evidence for contextual effects in decision making.

PubMed

Hytönen, Kaisa

2014-02-01

Both internal and external states can cause inconsistencies in decision behavior. I present examples from behavioral decision-making literature and review neuroscientific knowledge on two contextual influences: framing effects and social conformity. The brain mechanisms underlying these behavioral adjustments comply with the dual-process account and simple learning mechanisms, and are weak indicators for unintentionality in decision-making processes.

Using findings in multimedia learning to inform technology-based behavioral health interventions.

PubMed

Aronson, Ian David; Marsch, Lisa A; Acosta, Michelle C

2013-09-01

Clinicians and researchers are increasingly using technology-based behavioral health interventions to improve intervention effectiveness and to reach underserved populations. However, these interventions are rarely informed by evidence-based findings of how technology can be optimized to promote acquisition of key skills and information. At the same time, experts in multimedia learning generally do not apply their findings to health education or conduct research in clinical contexts. This paper presents an overview of some key aspects of multimedia learning research that may allow those developing health interventions to apply informational technology with the same rigor as behavioral science content. We synthesized empirical multimedia learning literature from 1992 to 2011. We identified key findings and suggested a framework for integrating technology with educational and behavioral science theory. A scientific, evidence-driven approach to developing technology-based interventions can yield greater effectiveness, improved fidelity, increased outcomes, and better client service.

What factors determine therapists' acceptance of new technologies for rehabilitation – a study using the Unified Theory of Acceptance and Use of Technology (UTAUT).

PubMed

Liu, Lili; Miguel Cruz, Antonio; Rios Rincon, Adriana; Buttar, Vickie; Ranson, Quentin; Goertzen, Darrell

2015-01-01

The aim of this study was to examine what factors affect the acceptance behavior and use of new technologies for rehabilitation by therapists at a large rehabilitation hospital in Canada. A self-administrated paper-based survey was created by adapting scales with high levels of internal consistency in prior research using the Unified Theory of Acceptance and Use of Technology (UTAUT). Items were scored on a 7-point Likert scale, ranging from "strongly disagree (1)" to "strongly agree (7)". The target population was all occupational therapists (OT) and physical therapists (PT) involved with the provision of therapeutic interventions at the hospital. Our research model was tested using partial least squares (PLS) technique. Performance expectancy was the strongest salient construct for behavioral intention to use new technologies in rehabilitation, whereas neither effort expectancy nor social influence were salient constructs for behavioral intention to use new technologies; (4) facilitating condition and behavioral intention to use new technologies were salient constructs for current use of new technologies in rehabilitation, with facilitating condition the strongest salient for current use of new technologies in rehabilitation. In a large rehabilitation hospital where use of new technologies in rehabilitation is not mandatory, performance expectancy, or how the technology can help in therapists' work, was the most important factor in determining therapists' acceptance and use of technologies. However, effort expectancy and social influence constructs were not important, i.e. therapists were not influenced by the degree of difficulty or social pressures to use technologies. Behavioral intention and facilitating condition, or institutional support, are related to current use of new technologies in rehabilitation.

Risky Decision Making in a Laboratory Driving Task Is Associated with Health Risk Behaviors during Late Adolescence but Not Adulthood

ERIC Educational Resources Information Center

Kim-Spoon, Jungmeen; Kahn, Rachel; Deater-Deckard, Kirby; Chiu, Pearl; Steinberg, Laurence; King-Casas, Brooks

2016-01-01

Adolescence is characterized by increasing incidence of health risk behaviors, including experimentation with drugs and alcohol. To fill the gap in our understanding of the associations between risky decision-making and health risk behaviors, we investigated associations between laboratory-based risky decision-making using the Stoplight task and…

On the Risk Management and Auditing of SOA Based Business Processes

NASA Astrophysics Data System (ADS)

Orriens, Bart; Heuvel, Willem-Jan V./D.; Papazoglou, Mike

SOA-enabled business processes stretch across many cooperating and coordinated systems, possibly crossing organizational boundaries, and technologies like XML and Web services are used for making system-to-system interactions commonplace. Business processes form the foundation for all organizations, and as such, are impacted by industry regulations. This requires organizations to review their business processes and ensure that they meet the compliance standards set forth in legislation. In this paper we sketch a SOA-based service risk management and auditing methodology including a compliance enforcement and verification system that assures verifiable business process compliance. This is done on the basis of a knowledge-based system that allows integration of internal control systems into business processes conform pre-defined compliance rules, monitor both the normal process behavior and those of the control systems during process execution, and log these behaviors to facilitate retrospective auditing.

jsPsych: a JavaScript library for creating behavioral experiments in a Web browser.

PubMed

de Leeuw, Joshua R

2015-03-01

Online experiments are growing in popularity, and the increasing sophistication of Web technology has made it possible to run complex behavioral experiments online using only a Web browser. Unlike with offline laboratory experiments, however, few tools exist to aid in the development of browser-based experiments. This makes the process of creating an experiment slow and challenging, particularly for researchers who lack a Web development background. This article introduces jsPsych, a JavaScript library for the development of Web-based experiments. jsPsych formalizes a way of describing experiments that is much simpler than writing the entire experiment from scratch. jsPsych then executes these descriptions automatically, handling the flow from one task to another. The jsPsych library is open-source and designed to be expanded by the research community. The project is available online at www.jspsych.org .

Quantifying Phishing Susceptibility for Detection and Behavior Decisions.

PubMed

Canfield, Casey Inez; Fischhoff, Baruch; Davis, Alex

2016-12-01

We use signal detection theory to measure vulnerability to phishing attacks, including variation in performance across task conditions. Phishing attacks are difficult to prevent with technology alone, as long as technology is operated by people. Those responsible for managing security risks must understand user decision making in order to create and evaluate potential solutions. Using a scenario-based online task, we performed two experiments comparing performance on two tasks: detection, deciding whether an e-mail is phishing, and behavior, deciding what to do with an e-mail. In Experiment 1, we manipulated the order of the tasks and notification of the phishing base rate. In Experiment 2, we varied which task participants performed. In both experiments, despite exhibiting cautious behavior, participants' limited detection ability left them vulnerable to phishing attacks. Greater sensitivity was positively correlated with confidence. Greater willingness to treat e-mails as legitimate was negatively correlated with perceived consequences from their actions and positively correlated with confidence. These patterns were robust across experimental conditions. Phishing-related decisions are sensitive to individuals' detection ability, response bias, confidence, and perception of consequences. Performance differs when people evaluate messages or respond to them but not when their task varies in other ways. Based on these results, potential interventions include providing users with feedback on their abilities and information about the consequences of phishing, perhaps targeting those with the worst performance. Signal detection methods offer system operators quantitative assessments of the impacts of interventions and their residual vulnerability. © 2016, Human Factors and Ergonomics Society.

A methodology for developing anisotropic AAA phantoms via additive manufacturing.

PubMed

Ruiz de Galarreta, Sergio; Antón, Raúl; Cazón, Aitor; Finol, Ender A

2017-05-24

An Abdominal Aortic Aneurysm (AAA) is a permanent focal dilatation of the abdominal aorta at least 1.5 times its normal diameter. The criterion of maximum diameter is still used in clinical practice, although numerical studies have demonstrated the importance of biomechanical factors for rupture risk assessment. AAA phantoms could be used for experimental validation of the numerical studies and for pre-intervention testing of endovascular grafts. We have applied multi-material 3D printing technology to manufacture idealized AAA phantoms with anisotropic mechanical behavior. Different composites were fabricated and the phantom specimens were characterized by biaxial tensile tests while using a constitutive model to fit the experimental data. One composite was chosen to manufacture the phantom based on having the same mechanical properties as those reported in the literature for human AAA tissue; the strain energy and anisotropic index were compared to make this choice. The materials for the matrix and fibers of the selected composite are, respectively, the digital materials FLX9940 and FLX9960 developed by Stratasys. The fiber proportion for the composite is equal to 0.15. The differences between the composite behavior and the AAA tissue are small, with a small difference in the strain energy (0.4%) and a maximum difference of 12.4% in the peak Green strain ratio. This work represents a step forward in the application of 3D printing technology for the manufacturing of AAA phantoms with anisotropic mechanical behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

Impaired Decision Making in Adolescent Suicide Attempters

ERIC Educational Resources Information Center

Bridge, Jeffrey A.; McBee-Strayer, Sandra M.; Cannon, Elizabeth A.; Sheftall, Arielle H.; Reynolds, Brady; Campo, John V.; Pajer, Kathleen A.; Barbe, Remy P.; Brent, David A.

2012-01-01

Objective: Decision-making deficits have been linked to suicidal behavior in adults. However, it remains unclear whether impaired decision making plays a role in the etiopathogenesis of youth suicidal behavior. The purpose of this study was to examine decision-making processes in adolescent suicide attempters and never-suicidal comparison…

Harnessing Innovative Technologies to Advance Children’s Mental Health: Behavioral Parent Training As an Example

PubMed Central

Jones, Deborah J.; Forehand, Rex; Cuellar, Jessica; Kincaid, Carlye; Parent, Justin; Fenton, Nicole; Goodrum, Nada

2012-01-01

Disruptive behaviors of childhood are among the most common reasons for referral of children to mental health professionals. Behavioral parent training (BPT) is the most efficacious intervention for these problem behaviors, yet BPT is substantially underutilized beyond university research and clinic settings. With the aim of addressing this research-to-practice gap, this article highlights the considerable, but largely unrealized, potential for technology to overcome the two most pressing challenges hindering the diffusion of BPT: (1). The dearth of BPT training and supervision opportunities for therapists who work with families of children with disruptive behaviors and; (2). The failure to engage and retain families in BPT services when services are available. To this end, this review presents a theoretical framework to guide technological innovations in BPT and highlights examples of how technology is currently being harnessed to overcome these challenges. This review also discusses recommendations for using technology as a delivery vehicle to further advance the field of BPT and the potential implications of technological innovations in BPT for other areas of children’s mental health are discussed. PMID:23313761

In the Clouds: The Implications of Cloud Computing for Higher Education Information Technology Governance and Decision Making

ERIC Educational Resources Information Center

Dulaney, Malik H.

2013-01-01

Emerging technologies challenge the management of information technology in organizations. Paradigm changing technologies, such as cloud computing, have the ability to reverse the norms in organizational management, decision making, and information technology governance. This study explores the effects of cloud computing on information technology…

An Anticipatory Model of Cavitation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Allgood, G.O.; Dress, W.B., Jr.; Hylton, J.O.

1999-04-05

The Anticipatory System (AS) formalism developed by Robert Rosen provides some insight into the problem of embedding intelligent behavior in machines. AS emulates the anticipatory behavior of biological systems. AS bases its behavior on its expectations about the near future and those expectations are modified as the system gains experience. The expectation is based on an internal model that is drawn from an appeal to physical reality. To be adaptive, the model must be able to update itself. To be practical, the model must run faster than real-time. The need for a physical model and the requirement that the modelmore » execute at extreme speeds, has held back the application of AS to practical problems. Two recent advances make it possible to consider the use of AS for practical intelligent sensors. First, advances in transducer technology make it possible to obtain previously unavailable data from which a model can be derived. For example, acoustic emissions (AE) can be fed into a Bayesian system identifier that enables the separation of a weak characterizing signal, such as the signature of pump cavitation precursors, from a strong masking signal, such as a pump vibration feature. The second advance is the development of extremely fast, but inexpensive, digital signal processing hardware on which it is possible to run an adaptive Bayesian-derived model faster than real-time. This paper reports the investigation of an AS using a model of cavitation based on hydrodynamic principles and Bayesian analysis of data from high-performance AE sensors.« less

Novel pervasive scenarios for home management: the Butlers architecture.

PubMed

Denti, Enrico

2014-01-01

Many efforts today aim to energy saving, promoting the user's awareness and virtuous behavior in a sustainability perspective. Our houses, appliances, energy meters and devices are becoming smarter and connected, domotics is increasing possibilities in house automation and control, and ambient intelligence and assisted living are bringing attention onto people's needs from different viewpoints. Our assumption is that considering these aspects together allows for novel intriguing possibilities. To this end, in this paper we combine home energy management with domotics, coordination technologies, intelligent agents, ambient intelligence, ubiquitous technologies and gamification to devise novel scenarios, where energy monitoring and management is just the basic brick of a much wider and comprehensive home management system. The aim is to control home appliances well beyond energy consumption, combining home comfort, appliance scheduling, safety constraints, etc. with dynamically-changeable users' preferences, goals and priorities. At the same time, usability and attractiveness are seen as key success factors: so, the intriguing technologies available in most houses and smart devices are exploited to make the system configuration and use simpler, entertaining and attractive for users. These aspects are also integrated with ubiquitous and pervasive technologies, geo-localization, social networks and communities to provide enhanced functionalities and support smarter application scenarios, hereby further strengthening technology acceptation and diffusion. Accordingly, we first analyse the system requirements and define a reference multi-layer architectural model - the Butlers architecture - that specifies seven layers of functionalities, correlating the requirements, the corresponding technologies and the consequent value-added for users in each layer. Then, we outline a set of notable scenarios of increasing functionalities and complexity, discuss the structure of the corresponding system patterns in terms of the proposed architecture, and make this concrete by presenting some comprehensive interaction examples as comic strip stories. Next, we discuss the implementation requirements and how they can be met with the available technologies, discuss a possible architecture, refine it in the concrete case of the TuCSoN coordination technology, present a subsystem prototype and discuss its properties in the Butlers perspective.

Exploring Instructors' Technology Readiness, Attitudes and Behavioral Intentions towards E-Learning Technologies in Egypt and United Arab Emirates

ERIC Educational Resources Information Center

El Alfy, Shahira; Gómez, Jorge Marx; Ivanov, Danail

2017-01-01

This paper explores the association between technology readiness, (a meta-construct consisting of optimism, innovativeness, discomfort, and insecurity), attitude, and behavioral intention towards e-learning technologies adoption within an education institution context. The empirical study data is collected at two private universities located in…

Studying the place of technology to lower financial barriers for dietary change.

PubMed

Siek, K A; Maitland, J

2010-01-01

Current dietary self-monitoring systems assume users have access to healthy foods and resources to effectively implement and monitor dietary behavioral change. The purpose of this qualitative study is to understand the specific financial-related barriers that caregivers of low socioeconomic status encounter when attempting to make dietary behavior change. In this qualitative study, we conducted a focus group and 14 in-person interviews with the primary caregivers of low socioeconomic families. Participants were recruited from a community considered to be 'at risk' through high levels of exposure to multiple modifiable risk factors for cardiovascular disease. All participants were English-speaking caregivers, who had children under eight years old. The families lived in an urban, public housing community. The focus group and interviews were transcribed and coded during data analysis sessions, then analyzed for emergent themes. We abstracted three main themes from the data. The caregivers of 17 families: 1) feared trying healthier food alternatives because of possibly wasting the food; 2) planned meals only when they had enough time, space, and financial security; and 3) defined produce as luxury items and often could only afford staple food items, such as meat and grains. We challenge the community to design technological interventions to lower the financial barriers presented with existing information and communication technology available to low socioeconomic populations. In addition, we encourage interventions to foster a community's social capital to decrease feelings of isolation and increase opportunities for cooperation.

User acceptance of a picture archiving and communication system. Applying the unified theory of acceptance and use of technology in a radiological setting.

PubMed

Duyck, P; Pynoo, B; Devolder, P; Voet, T; Adang, L; Vercruysse, J

2008-01-01

The aim of this study is to gain insight into the individual user acceptance of PACS by the radiology department staff of the Ghent University Hospital. Hereto a basic--direct effects only--form of UTAUT was assessed. Ninety-four questionnaires were distributed and 56 usable questionnaires were returned (19 radiologists - 37 technologists). The questionnaire consisted of scales of Venkatesh et al. [13] for performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), social influence (SI), self-efficacy (SE), attitude (ATT), anxiety (ANX) and behavioral intention (BI), and a scale of Moore et al. [22] to assess the perceived voluntariness of PACS-use. The reliability of all scales, except FC and voluntariness, was acceptable to good. The voluntariness scale was divided into a mandatoriness (MAN) and a voluntariness (VOL) measure. Both radiologists and technologists seem to welcome PACS, with radiologists having higher ratings on PE, EE, ATT, VOL and BI. Only PE and FC were salient for predicting BI, while EE and SI were not salient. Variance explained in behavioral intention to use PACS was 48%. Both radiologists and technologists were positive towards PACS and had strong intentions to use PACS. As other healthcare professionals, they appear to make their technology acceptance decision independent from their superiors, hereby focusing on usefulness rather than on ease of use. It is also important that support is supplied. Basic UTAUT is an adequate model to assess technology acceptance in a radiological setting.

Paving the Way to Successful Implementation: Identifying Key Barriers to Use of Technology-Based Therapeutic Tools for Behavioral Health Care.

PubMed

Ramsey, Alex; Lord, Sarah; Torrey, John; Marsch, Lisa; Lardiere, Michael

2016-01-01

This study aimed to identify barriers to use of technology for behavioral health care from the perspective of care decision makers at community behavioral health organizations. As part of a larger survey of technology readiness, 260 care decision makers completed an open-ended question about perceived barriers to use of technology. Using the Consolidated Framework for Implementation Research (CFIR), qualitative analyses yielded barrier themes related to characteristics of technology (e.g., cost and privacy), potential end users (e.g., technology literacy and attitudes about technology), organization structure and climate (e.g., budget and infrastructure), and factors external to organizations (e.g., broadband accessibility and reimbursement policies). Number of reported barriers was higher among respondents representing agencies with lower annual budgets and smaller client bases relative to higher budget, larger clientele organizations. Individual barriers were differentially associated with budget, size of client base, and geographic location. Results are discussed in light of implementation science frameworks and proactive strategies to address perceived obstacles to adoption and use of technology-based behavioral health tools.

Paving the Way to Successful Implementation: Identifying Key Barriers to Use of Technology-Based Therapeutic Tools for Behavioral Health Care

PubMed Central

Ramsey, Alex; Lord, Sarah; Torrey, John; Marsch, Lisa; Lardiere, Michael

2014-01-01

This study aimed to identify barriers to use of technology for behavioral health care from the perspective of care decision-makers at community behavioral health organizations. As part of a larger survey of technology readiness, 260 care decision-makers completed an open-ended question about perceived barriers to use of technology. Using the Consolidated Framework for Implementation Research (CFIR), qualitative analyses yielded barrier themes related to characteristics of technology (e.g., cost, privacy), potential end-users (e.g., technology literacy, attitudes about technology), organization structure and climate (e.g., budget, infrastructure), and factors external to organizations (e.g., broadband accessibility, reimbursement policies). Number of reported barriers was higher among respondents representing agencies with lower annual budgets and smaller client bases relative to higher budget, larger clientele organizations. Individual barriers were differentially associated with budget, size of client base, and geographic location. Results are discussed in light of implementation science frameworks and proactive strategies to address perceived obstacles to adoption and use of technology-based behavioral health tools. PMID:25192755

Using Avatars to Model Weight Loss Behaviors: Participant Attitudes and Technology Development

PubMed Central

Napolitano, Melissa A.; Hayes, Sharon; Russo, Giuseppe; Muresu, Debora; Giordano, Antonio; Foster, Gary D.

2013-01-01

Background: Virtual reality and other avatar-based technologies are potential methods for demonstrating and modeling weight loss behaviors. This study examined avatar-based technology as a tool for modeling weight loss behaviors. Methods: This study consisted of two phases: (1) an online survey to obtain feedback about using avatars for modeling weight loss behaviors and (2) technology development and usability testing to create an avatar-based technology program for modeling weight loss behaviors. Results: Results of phase 1 (n = 128) revealed that interest was high, with 88.3% stating that they would participate in a program that used an avatar to help practice weight loss skills in a virtual environment. In phase 2, avatars and modules to model weight loss skills were developed. Eight women were recruited to participate in a 4-week usability test, with 100% reporting they would recommend the program and that it influenced their diet/exercise behavior. Most women (87.5%) indicated that the virtual models were helpful. After 4 weeks, average weight loss was 1.6 kg (standard deviation = 1.7). Conclusion: This investigation revealed a high level of interest in an avatar-based program, with formative work indicating promise. Given the high costs associated with in vivo exposure and practice, this study demonstrates the potential use of avatar-based technology as a tool for modeling weight loss behaviors. PMID:23911189

3D technology of Sony Bloggie has no advantage in decision-making of tennis serve direction: A randomized placebo-controlled study.

PubMed

Liu, Sicong; Ritchie, Jason; Sáenz-Moncaleano, Camilo; Ward, Savanna K; Paulsen, Cody; Klein, Tyler; Gutierrez, Oscar; Tenenbaum, Gershon

2017-06-01

This study aimed at exploring whether 3D technology enhances tennis decision-making under the conceptual framework of human performance model. A 3 (skill-level: varsity, club, recreational) × 3 (experimental condition: placebo, weak 3D [W3D], strong 3D [S3D]) between-participant design was used. Allocated to experimental conditions by a skill-level stratified randomization, 105 tennis players judged tennis serve direction from video scenarios and rated their perceptions of enjoyment, flow, and presence during task performance. Results showed that varsity players made more accurate decisions than less skilled ones. Additionally, applying 3D technology to typical video displays reduced tennis players' decision-making accuracy, although wearing the 3D glasses led to a placebo effect that shortened the decision-making reaction time. The unexpected negative effect of 3D technology on decision-making was possibly due to participants being more familiar to W3D than to S3D, and relatedly, a suboptimal task-technology match. Future directions for advancing this area of research are offered. Highlights 3D technology augments binocular depth cues to tradition video displays, and thus results in the attainment of more authentic visual representation. This process enhances task fidelity in researching perceptual-cognitive skills in sports. The paper clarified both conceptual and methodological difficulties in testing 3D technology in sports settings. Namely, the nomenclature of video footage (with/without 3D technology) and the possible placebo effect (arising from wearing glasses of 3D technology) merit researchers' attention. Participants varying in level of domain-specific expertise were randomized into viewing conditions using a placebo-controlled design. Measurement consisted of both participants' subjective experience (i.e., presence, flow, and enjoyment) and objective performance (i.e., accuracy and reaction time) in a decision-making task. Findings revealed that wearing glasses of 3D technology resulted in a placebo effect that shortened participants' reaction times in decision-making. Moreover, participants' decision-making accuracy decreased when viewing video scenarios using 3D technology. The findings generated meaningful implications regarding applying 3D technology to sports research.

Pre-Study Walkthrough with a Commercial Pilot for a Preliminary Single Pilot Operations Experiment

NASA Technical Reports Server (NTRS)

O'Connor-Dreher, Ryan; Roberts, Z.; Ziccardi, J.; Vu, K-P. L.; Strybel, T.; Koteskey, Robert William; Lachter, Joel B.; Vi Dao, Quang; Johnson, Walter W.; Battiste, V.

2013-01-01

The number of crew members in commercial flights has decreased to two members, down from the five-member crew required 50 years ago. One question of interest is whether the crew should be reduced to one pilot. In order to determine the critical factors involved in safely transitioning to a single pilot, research must examine whether any performance deficits arise with the loss of a crew member. With a concrete understanding of the cognitive and behavioral role of a co-pilot, aeronautical technologies and procedures can be developed that make up for the removal of the second aircrew member. The current project describes a pre-study walkthrough process that can be used to help in the development of scenarios for testing future concepts and technologies for single pilot operations. Qualitative information regarding the tasks performed by the pilots can be extracted with this technique and adapted for future investigations of single pilot operations.

[Surgeons training: today as always?].

PubMed

Jesus, Lisieux Eyer de

2009-12-01

This paper proposes to discuss the training methodologies for young surgeons, considering the modern needs, by discussing their expectations and the reality of the surgeons' job market nowadays. Scientific and technological novelties, the huge amount of information imposed daily, managerial interventions and cost issues modified radically the activities of the surgeons, especially if compared to classical conceptions. Recent re-readings of the classical ethical postulates demand a new behavior of the doctors concerning the patients and the society per se. Contemporaneous social culture bring about individual expectations concerning quality of life and professional perspective issues. It becomes necessary to modify the training methods for surgeons to make them adequate to the need of continuous learning and adaptation to new technological instruments. They also should adapt to social interactions with the patients and the other health professionals that fit nowadays expectations. Those structural adaptations are fundamental to maintain the interest of the new professionals in the area of surgery.

ELSI Priorities for Brain Imaging

PubMed Central

Illes, Judy; De Vries, Raymond; Cho, Mildred K.; Schraedley-Desmond, Pam

2006-01-01

As one of the most compelling technologies for imaging the brain, functional MRI (fMRI) produces measurements and persuasive pictures of research subjects making cognitive judgments and even reasoning through difficult moral decisions. Even after centuries of studying the link between brain and behavior, this capability presents a number of novel significant questions. For example, what are the implications of biologizing human experience? How might neuroimaging disrupt the mysteries of human nature, spirituality, and personal identity? Rather than waiting for an ethical agenda to emerge from some unpredictable combination of the concerns of ethicists and researchers, the attention of journalists, or after controversy is sparked by research that cannot be retracted, we queried key figures in bioethics and the humanities, neuroscience, media, industry, and patient advocacy in focus groups and interviews. We identified specific ethical, legal and social issues (ELSI) that highlight researcher obligations and the nonclinical impact of the technology at this new frontier. PMID:16500831

Endogenous information, adverse selection, and prevention: Implications for genetic testing policy.

PubMed

Peter, Richard; Richter, Andreas; Thistle, Paul

2017-09-01

We examine public policy toward the use of genetic information by insurers. Individuals engage in unobservable primary prevention and have access to different prevention technologies. Thus, insurance markets are affected by moral hazard and adverse selection. Individuals can choose to take a genetic test to acquire information about their prevention technology. Information has positive decision-making value, that is, individuals may adjust their behavior based on the result of the test. However, testing also exposes individuals to uncertainty over the available insurance contract, so-called classification risk, which lowers the value of information. In our analysis we distinguish between four different policy regimes, determine the value of information under each regime and associated equilibrium outcomes on the insurance market. We show that the policy regimes can be Pareto ranked, with a duty to disclose being the preferred regime and an information ban the least preferred one. Copyright © 2017 Elsevier B.V. All rights reserved.

Understanding Psychopathology

PubMed Central

Krueger, Robert F.; Markon, Kristian E.

2008-01-01

Research on psychopathology is at a historical crossroads. New technologies offer the promise of lasting advances in our understanding of the causes of human psychological suffering. Making the best use of these technologies, however, requires an empirically accurate model of psychopathology. Much current research is framed by the model of psychopathology portrayed in current versions of the Diagnostic and Statistical Manual of Mental Disorders (DSM; American Psychiatric Association, 2000). Although the modern DSMs have been fundamental in advancing psychopathology research, recent research also challenges some assumptions made in the DSM—for example, the assumption that all forms of psychopathology are well conceived of as discrete categories. Psychological science has a critical role to play in working through the implications of this research and the challenges it presents. In particular, behavior-genetic, personality, and quantitative-psychological research perspectives can be melded to inform the development of an empirically based model of psychopathology that would constitute an evolution of the DSM. PMID:18392116

Results in standardization of FOS to support the use of SHM systems

NASA Astrophysics Data System (ADS)

Habel, Wolfgang R.; Krebber, Katerina; Daum, Werner

2016-05-01

Measurement and data recording systems are important parts of a holistic Structural Health Monitoring (SHM) system. New sensor technologies such as fiber-optic sensors are often used; however, standards (or at least guidelines) are not yet available or internationally approved. This lack in standardization makes the acceptance of FOS technologies in complex SHM systems substantially difficult. A standard family for different FOS technologies is therefore being developed that should help to design SHM systems in an optimal way. International standardization activities take place in several standardization bodies such as IEC and ASTM, and within SHM societies such as ISHMII. The paper reports on activities in standardization of fiber-optic sensors, on results already achieved, and on newly started projects. Combined activities of fiber sensor experts and SHM experts from Civil Engineering are presented. These contributions should help owners of structures as well as developers of sensors and monitoring systems to select effective and validated sensing technologies. Using these standards, both parties find recommendations how to proceed in development of SHM systems to evaluate the structural behavior based on e.g. standardized fiber optic sensors, and to derive necessary measures, e.g. the optimal maintenance strategy.

Biotechnology and genetic engineering in the new drug development. Part I. DNA technology and recombinant proteins.

PubMed

Stryjewska, Agnieszka; Kiepura, Katarzyna; Librowski, Tadeusz; Lochyński, Stanisław

2013-01-01

Pharmaceutical biotechnology has a long tradition and is rooted in the last century, first exemplified by penicillin and streptomycin as low molecular weight biosynthetic compounds. Today, pharmaceutical biotechnology still has its fundamentals in fermentation and bioprocessing, but the paradigmatic change affected by biotechnology and pharmaceutical sciences has led to an updated definition. The biotechnology revolution redrew the research, development, production and even marketing processes of drugs. Powerful new instruments and biotechnology related scientific disciplines (genomics, proteomics) make it possible to examine and exploit the behavior of proteins and molecules. Recombinant DNA (rDNA) technologies (genetic, protein, and metabolic engineering) allow the production of a wide range of peptides, proteins, and biochemicals from naturally nonproducing cells. This technology, now approximately 25 years old, is becoming one of the most important technologies developed in the 20(th) century. Pharmaceutical products and industrial enzymes were the first biotech products on the world market made by means of rDNA. Despite important advances regarding rDNA applications in mammalian cells, yeasts still represent attractive hosts for the production of heterologous proteins. In this review we describe these processes.

It's Good to Share: Why Environmental Scientists’ Ethics Are Out of Date

PubMed Central

Soranno, Patricia A.; Cheruvelil, Kendra S.; Elliott, Kevin C.; Montgomery, Georgina M.

2014-01-01

Although there have been many recent calls for increased data sharing, the majority of environmental scientists do not make their individual data sets publicly available in online repositories. Current data-sharing conversations are focused on overcoming the technological challenges associated with data sharing and the lack of rewards and incentives for individuals to share data. We argue that the most important conversation has yet to take place: There has not been a strong ethical impetus for sharing data within the current culture, behaviors, and practices of environmental scientists. In this article, we describe a critical shift that is happening in both society and the environmental science community that makes data sharing not just good but ethically obligatory. This is a shift toward the ethical value of promoting inclusivity within and beyond science. An essential element of a truly inclusionary and democratic approach to science is to share data through publicly accessible data sets. PMID:26955073

Self-Aware Vehicles: Mission and Performance Adaptation to System Health

NASA Technical Reports Server (NTRS)

Gregory, Irene M.; Leonard, Charles; Scotti, Stephen J.

2016-01-01

Advances in sensing (miniaturization, distributed sensor networks) combined with improvements in computational power leading to significant gains in perception, real-time decision making/reasoning and dynamic planning under uncertainty as well as big data predictive analysis have set the stage for realization of autonomous system capability. These advances open the design and operating space for self-aware vehicles that are able to assess their own capabilities and adjust their behavior to either complete the assigned mission or to modify the mission to reflect their current capabilities. This paper discusses the self-aware vehicle concept and associated technologies necessary for full exploitation of the concept. A self-aware aircraft, spacecraft or system is one that is aware of its internal state, has situational awareness of its environment, can assess its capabilities currently and project them into the future, understands its mission objectives, and can make decisions under uncertainty regarding its ability to achieve its mission objectives.

It's Good to Share: Why Environmental Scientists' Ethics Are Out of Date.

PubMed

Soranno, Patricia A; Cheruvelil, Kendra S; Elliott, Kevin C; Montgomery, Georgina M

2015-01-01

Although there have been many recent calls for increased data sharing, the majority of environmental scientists do not make their individual data sets publicly available in online repositories. Current data-sharing conversations are focused on overcoming the technological challenges associated with data sharing and the lack of rewards and incentives for individuals to share data. We argue that the most important conversation has yet to take place: There has not been a strong ethical impetus for sharing data within the current culture, behaviors, and practices of environmental scientists. In this article, we describe a critical shift that is happening in both society and the environmental science community that makes data sharing not just good but ethically obligatory. This is a shift toward the ethical value of promoting inclusivity within and beyond science. An essential element of a truly inclusionary and democratic approach to science is to share data through publicly accessible data sets.

Consumer attitudes and the governance of food safety.

PubMed

Todt, Oliver; Muñoz, Emilio; González, Marta; Ponce, Gloria; Estévez, Betty

2009-01-01

This paper reports the analysis of a recent study of public perception of food safety governance in Spain, using genetically modified (GM) foods as an indicator. The data make clear that Spanish food consumers are aware of their rights and role in the marketplace. They are critical of current regulatory decision making, which they perceive to be unduly influenced by certain social actors, such as industry. In contrast, consumers demand decisions to be based primarily on scientific opinion, as well as consumer preferences. They want authorities to facilitate informed purchasing decisions, and favor labeling of GM foods mostly on the grounds of their right to know. However, consumers' actual level of knowledge with respect to food technology and food safety remains low. There are several ambivalences as to the real impact of these attitudes on actual consumer behavior (specifically when it comes to organizing themselves or searching out background information).

Explain the Behavior Intention to Use e-Learning Technologies: A Unified Theory of Acceptance and Use of Technology Perspective

ERIC Educational Resources Information Center

Shaqrah, Amin A.

2015-01-01

The purpose of this study is to explain the behavior intention to use e-learning technologies. In order to achieve a better view and validate the study, researcher attempts to give details of how technology acceptance models help Jordanian trainees firms in accepting e-learning technology, and how if applied will result more attention to usage…

Making Connections: Technological Interventions to Support Students in Using, and Tutors in Creating, Assessment Feedback

ERIC Educational Resources Information Center

Glover, Ian; Parkin, Helen J.; Hepplestone, Stuart; Irwin, Brian; Rodger, Helen

2015-01-01

This paper explores the potential of technology to enhance the assessment and feedback process for both staff and students. The "Making Connections" project aimed to better understand the connections that students make between the feedback that they receive and future assignments, and explored whether technology can help them in this…

Affective Decision-Making and Tactical Behavior of Under-15 Soccer Players

PubMed Central

Gonzaga, Adeilton dos Santos; Albuquerque, Maicon Rodrigues; Malloy-Diniz, Leandro Fernandes; Greco, Pablo Juan; Teoldo da Costa, Israel

2014-01-01

Affective decision-making is a type of Executive Function related to cost benefit analysis in situations where gains and losses imply direct consequences for the subject. The purpose of this study was to explore the influence of the affective decision-making on tactical behavior in soccer players under the age of 15 years old. The System of Tactical Assessment in Soccer (FUT-SAT) was used to assess tactical behavior. To evaluate affective decision-making, we used the neuropsychological test called The Iowa Gambling Task (IGT). The values of the offensive, defensive and game tactical behavior of participants were used to create performance groups. The low (≤25%) and high (≥75%) groups, according to offensive, defensive and game tactical behavior, were compared and shown to be different. The values of the IGT net score of the participants with low and high tactical behavior were compared using the non-parametric Mann-Whitney test. Statistically significant differences between the groups were observed for Defensive Tactical Behavior (Z = −3.133; p = 0.002; r = −0.355) and Game Tactical Behavior (Z = −2.267; p = 0.023; r = −0.260). According to these results, it is possible to state that affective decision-making can influence the tactical behavior of under-15 soccer players. PMID:24978030

Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop-and Under the Looking Glass.

PubMed

Berendt, Bettina; Preibusch, Sören

2017-06-01

"Big Data" and data-mined inferences are affecting more and more of our lives, and concerns about their possible discriminatory effects are growing. Methods for discrimination-aware data mining and fairness-aware data mining aim at keeping decision processes supported by information technology free from unjust grounds. However, these formal approaches alone are not sufficient to solve the problem. In the present article, we describe reasons why discrimination with data can and typically does arise through the combined effects of human and machine-based reasoning, and argue that this requires a deeper understanding of the human side of decision-making with data mining. We describe results from a large-scale human-subjects experiment that investigated such decision-making, analyzing the reasoning that participants reported during their task to assess whether a loan request should or would be granted. We derive data protection by design strategies for making decision-making discrimination-aware in an accountable way, grounding these requirements in the accountability principle of the European Union General Data Protection Regulation, and outline how their implementations can integrate algorithmic, behavioral, and user interface factors.

When does it pay to invest in a patch? The evolution of intentional niche construction.

PubMed

Mohlenhoff, Kathryn A; Codding, Brian F

2017-09-01

Humans modify their environments in ways that significantly transform the earth's ecosystems. Recent research suggests that such niche-constructing behaviors are not passive human responses to environmental variation, but instead should be seen as active and intentional management of the environment. Although such research is useful in highlighting the interactive dynamics between humans and their natural world, the niche-construction framework, as currently applied, fails to explain why people would decide to modify their environments in the first place. To help resolve this problem, we use a model of technological intensification to analyze the cost-benefit trade-offs associated with niche construction as a form of patch investment. We use this model to assess the costs and benefits of three paradigmatic cases of intentional niche construction in Western North America: the application of fire in acorn groves, the manufacture of fishing weirs, and the adoption of maize agriculture. Intensification models predict that investing in patch modification (niche construction) only provides a net benefit when the amount of resources needed crosses a critical threshold that makes the initial investment worthwhile. From this, it follows that low-cost investments, such as burning in oak groves, should be quite common, while more costly investments, such as maize agriculture, should be less common and depend on the alternatives available in the local environment. We examine how patterns of mobility, risk management, territoriality, and private property also co-evolve with the costs and benefits of niche construction. This approach illustrates that explaining niche-constructing behavior requires understanding the economic trade-offs involved in patch investment. Integrating concepts from niche construction and technological intensification models within a behavioral ecological framework provides insights into the coevolution and active feedback between adaptive behaviors and environmental change across human history. © 2017 Wiley Periodicals, Inc.

Technologies for Assessing Behavioral and Cognitive Markers of Suicide Risk

DTIC Science & Technology

2017-10-01

AWARD NUMBER: W81XWH-15-1-0632 TITLE: Technologies for Assessing Behavioral and Cognitive Markers of Suicide Risk PRINCIPAL INVESTIGATOR: Brian...CONTRACT NUMBER Technologies for Assessing Behavioral and Cognitive Markers of Suicide Risk 5b. GRANT NUMBER W81XWH-15-1-0632 5c. PROGRAM...Public Release; Distribution Unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT The primary aim of the proposed project is to develop cognitive and

Behavior analysis: the science of training.

PubMed

Farhoody, Parvene

2012-09-01

Behavior analysis is a data-driven science dedicated to understanding the mechanisms of behavior. Applied behavior analysis is a branch of this scientific field that systematically applies scientific principles to real-world problems in an effort to improve quality of life. The use of the behavioral technology provides a way to teach human and nonhuman animals more effectively and efficiently and offers those using this technology increased success in achieving behavioral goals. Copyright © 2012 Elsevier Inc. All rights reserved.

"They'll Always Find a Way to Get to You": Technology Use in Adolescent Romantic Relationships and Its Role in Dating Violence and Abuse.

PubMed

Stonard, Karlie E; Bowen, Erica; Walker, Kate; Price, Shelley A

2015-06-11

Electronic communication technology (ECT), such as mobile phones and online communication tools, is widely used by adolescents; however, the availability of such tools may have both positive and negative impacts within the context of romantic relationships. While an established literature has documented the nature, prevalence, and impact of traditional forms of adolescent dating violence and abuse (ADVA), limited empirical investigation has focused on the role of ECT in ADVA or what shall be termed technology-assisted adolescent dating violence and abuse (TAADVA) and how adolescents perceive the impact of TAADVA relative to ADVA. In this article, the authors explore the role ECT plays in adolescent romantic relationships and psychologically abusive and controlling ADVA behaviors and its perceived impact. An opportunity sample of 52 adolescents (22 males and 30 females) between the ages of 12 and 18 years participated in the study. One all-female and seven mixed-gendered semi-structured focus groups were conducted. Thematic analysis was used to identify three superordinate themes, including (a) perceived healthy versus unhealthy communication, (b) perceived monitoring and controlling communication, and (c) perceived impact of technology-assisted abuse compared with that in person. While ECTs had a positive impact on the development and maintenance of adolescent romantic relationships, such tools also provided a new avenue for unhealthy, harassment, monitoring, and controlling behaviors within these relationships. ECT was also perceived to provide unique impacts in terms of making TAADVA seem both less harmful and more harmful than ADVA experienced in person. Adolescents' perceptions and experiences of ECT in romantic relationships and TAADVA may also vary be gender. Implications of the findings are discussed, and recommendations are made for future research. © The Author(s) 2015.

Digital technology and clinical decision making in depression treatment: Current findings and future opportunities.

PubMed

Hallgren, Kevin A; Bauer, Amy M; Atkins, David C

2017-06-01

Clinical decision making encompasses a broad set of processes that contribute to the effectiveness of depression treatments. There is emerging interest in using digital technologies to support effective and efficient clinical decision making. In this paper, we provide "snapshots" of research and current directions on ways that digital technologies can support clinical decision making in depression treatment. Practical facets of clinical decision making are reviewed, then research, design, and implementation opportunities where technology can potentially enhance clinical decision making are outlined. Discussions of these opportunities are organized around three established movements designed to enhance clinical decision making for depression treatment, including measurement-based care, integrated care, and personalized medicine. Research, design, and implementation efforts may support clinical decision making for depression by (1) improving tools to incorporate depression symptom data into existing electronic health record systems, (2) enhancing measurement of treatment fidelity and treatment processes, (3) harnessing smartphone and biosensor data to inform clinical decision making, (4) enhancing tools that support communication and care coordination between patients and providers and within provider teams, and (5) leveraging treatment and outcome data from electronic health record systems to support personalized depression treatment. The current climate of rapid changes in both healthcare and digital technologies facilitates an urgent need for research, design, and implementation of digital technologies that explicitly support clinical decision making. Ensuring that such tools are efficient, effective, and usable in frontline treatment settings will be essential for their success and will require engagement of stakeholders from multiple domains. © 2017 Wiley Periodicals, Inc.

Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research.

PubMed

Fillo, Jennifer; Staplefoote-Boynton, B Lynette; Martinez, Angel; Sontag-Padilla, Lisa; Shadel, William G; Martino, Steven C; Setodji, Claude M; Meeker, Daniella; Scharf, Deborah

2016-12-01

Advances in mobile technology and mobile applications (apps) have opened up an exciting new frontier for behavioral health researchers, with a "second generation" of apps allowing for the simultaneous collection of multiple streams of data in real time. With this comes a host of technical decisions and ethical considerations unique to this evolving approach to research. Drawing on our experience developing a second-generation app for the simultaneous collection of text message, voice, and self-report data, we provide a framework for researchers interested in developing and using second-generation mobile apps to study health behaviors. Our Simplified Novel Application (SNApp) framework breaks the app development process into four phases: (1) information and resource gathering, (2) software and hardware decisions, (3) software development and testing, and (4) study start-up and implementation. At each phase, we address common challenges and ethical issues and make suggestions for effective and efficient app development. Our goal is to help researchers effectively balance priorities related to the function of the app with the realities of app development, human subjects issues, and project resource constraints.

An interactive technology approach to educate older adults about drug interactions arising from over-the-counter self-medication practices.

PubMed

Neafsey, Patricia J; Strickler, Zoe; Shellman, Juliette; Chartier, Virginia

2002-01-01

An interactive computer program (Personal Education Program [PEP]) designed for the learning styles and psychomotor skills of older adults was used to teach older adults about potential drug interactions that can result from self-medication with over-the-counter (OTC) agents and alcohol. Subjects used the PEP on notebook computers equipped with infrared sensitive touchscreens. Subjects were recruited from senior centers. Those who met age, vision, literacy, independence, and medication use criteria were randomly assigned to one of three groups: (1) PEP plus information booklet; (2) information booklet only; or (3) control. A repeated measures (three time periods 2 weeks apart), three-group design was used. Users of PEP had significantly greater knowledge and self-efficacy scores than both the conventional and control groups at all three time points. The PEP group reported fewer adverse self-medication behaviors over time. Reported self-medication behaviors did not change over time for either the conventional or control groups. Subjects indicated a high degree of satisfaction with the PEP and reported their intent to make specific changes in self-medication behaviors.

Technology-Related Strategies Used by Educational Leaders to Increase Prosocial Behavior in K-12 Schools

ERIC Educational Resources Information Center

Beers, Jason Ronald

2017-01-01

Purpose. The purpose of this study was to identify technology-related strategies used by educational leaders to increase prosocial behavior in K-12 schools. Information and communication technology (ICT) is developing at a rapid rate and is becoming more ubiquitous among students. Discovering and understanding common technology-related strategies…

Factors Influencing Agricultural Leadership Students' Behavioral Intentions: Examining the Potential Use of Mobile Technology in Courses

ERIC Educational Resources Information Center

Strong, Robert; Irby, Travis L.; Dooley, Larry M.

2013-01-01

Mobile technology is pervasive at institutions across the U.S. The study was framed with self-efficacy theory, self-directed learning theory, and the unified theory for acceptance and use of technology. The purpose of this study was to assess undergraduate students' behavioral intention towards mobile technology acceptance in agricultural…

Technological Leadership Behavior of High School Headteachers in Asir Region, Saudi Arabia

ERIC Educational Resources Information Center

Alkrdem, Mofareh

2014-01-01

The purpose of this study is to examine the technological leadership behaviors of Saudi Arabian high school regarding the supply and use of educational technologies based on the educational technology standards developed and approved for school headteachers in many countries. The study was carried out with 135 high school headteachers. In the…

Preparing Preservice Teachers for 21st Century Classrooms: Transforming Attitudes and Behaviors about Innovative Technology

ERIC Educational Resources Information Center

Williams, Mia Kim; Foulger, Teresa S.; Wetzel, Keith

2009-01-01

Keeping-up with progressing technology tools has been a troublesome issue for educational technology instructors for over ten years as they endeavor to prepare beginning teachers to integrate technology in their future classrooms. This paper promotes instructors' ideas about behaviors of 21st century teachers, and explores efforts to support their…

Examining the Relationship between Technology Leadership Behaviors and Project Success

ERIC Educational Resources Information Center

Bolman, David B.

2012-01-01

Organizations invest substantial resources into technology initiatives intended to generate advantages associated with improved use of human resources, increased operational efficiencies, and creating new capacities within processes and products; however, there is limited knowledge regarding how technology leadership behaviors influence project…

Neural systems analysis of decision making during goal-directed navigation.

PubMed

Penner, Marsha R; Mizumori, Sheri J Y

2012-01-01

The ability to make adaptive decisions during goal-directed navigation is a fundamental and highly evolved behavior that requires continual coordination of perceptions, learning and memory processes, and the planning of behaviors. Here, a neurobiological account for such coordination is provided by integrating current literatures on spatial context analysis and decision-making. This integration includes discussions of our current understanding of the role of the hippocampal system in experience-dependent navigation, how hippocampal information comes to impact midbrain and striatal decision making systems, and finally the role of the striatum in the implementation of behaviors based on recent decisions. These discussions extend across cellular to neural systems levels of analysis. Not only are key findings described, but also fundamental organizing principles within and across neural systems, as well as between neural systems functions and behavior, are emphasized. It is suggested that studying decision making during goal-directed navigation is a powerful model for studying interactive brain systems and their mediation of complex behaviors. Copyright © 2011. Published by Elsevier Ltd.

Computer fluid dynamics (CFD) study of a micro annular gear pump

NASA Astrophysics Data System (ADS)

Stan, Liviu-Constantin; Cǎlimǎnescu, Ioan

2016-12-01

Micro technology makes it possible to design products simply, efficiently and sustainably and at the same time, opens up the creation of new functionalities. The field of application of the micro annular gear pumps lies in analytical instrumentation, mechanical and plant engineering, chemical and pharmaceutical process engineering as well as in new markets like fuel cells or biotechnology, organic electronics or aerospace. The purpose of this paper is to investigate by using the powerful ANSYS 16 CFX module the hydrodynamic behavior of an 8/9 teeth annular gear pump. The solving of solids evolving inside fluids was very cumbersome until the advent of the Ansys immersed solid technology. By deploying this technology for very special topics like the CFD analysis of Micro annular gear pumps, credible and reliable results may be pulled leading thus the way for more in depth studies like geometrical a functional optimization of the existing devices. This paper is a valuable guide for the professionals working in the design field of micro pumps handing them a new and powerful design tool.

Portfolio Optimization of Nanomaterial Use in Clean Energy Technologies.

PubMed

Moore, Elizabeth A; Babbitt, Callie W; Gaustad, Gabrielle; Moore, Sean T

2018-04-03

While engineered nanomaterials (ENMs) are increasingly incorporated in diverse applications, risks of ENM adoption remain difficult to predict and mitigate proactively. Current decision-making tools do not adequately account for ENM uncertainties including varying functional forms, unique environmental behavior, economic costs, unknown supply and demand, and upstream emissions. The complexity of the ENM system necessitates a novel approach: in this study, the adaptation of an investment portfolio optimization model is demonstrated for optimization of ENM use in renewable energy technologies. Where a traditional investment portfolio optimization model maximizes return on investment through optimal selection of stock, ENM portfolio optimization maximizes the performance of energy technology systems by optimizing selective use of ENMs. Cumulative impacts of multiple ENM material portfolios are evaluated in two case studies: organic photovoltaic cells (OPVs) for renewable energy and lithium-ion batteries (LIBs) for electric vehicles. Results indicate ENM adoption is dependent on overall performance and variance of the material, resource use, environmental impact, and economic trade-offs. From a sustainability perspective, improved clean energy applications can help extend product lifespans, reduce fossil energy consumption, and substitute ENMs for scarce incumbent materials.

High-power graphic computers for visual simulation: a real-time--rendering revolution

NASA Technical Reports Server (NTRS)

Kaiser, M. K.

1996-01-01

Advances in high-end graphics computers in the past decade have made it possible to render visual scenes of incredible complexity and realism in real time. These new capabilities make it possible to manipulate and investigate the interactions of observers with their visual world in ways once only dreamed of. This paper reviews how these developments have affected two preexisting domains of behavioral research (flight simulation and motion perception) and have created a new domain (virtual environment research) which provides tools and challenges for the perceptual psychologist. Finally, the current limitations of these technologies are considered, with an eye toward how perceptual psychologist might shape future developments.

Nameless + Harmless = Blameless: When Seemingly Irrelevant Factors Influence Judgment of (Un)Ethical Behavior

ERIC Educational Resources Information Center

Gino, Francesca; Shu, Lisa L.; Bazerman, Max H.

2010-01-01

People often make judgments about the ethicality of others' behaviors and then decide how harshly to punish such behaviors. When they make these judgments and decisions, sometimes the victims of the unethical behavior are identifiable, and sometimes they are not. In addition, in our uncertain world, sometimes an unethical action causes harm, and…

Health behavior change in pregnant women: a two-phase study.

PubMed

Davis, Ann M; Wambach, Karen A; Nelson, Eve Lynn; Odar, Cathleen; Lillis, Teresa; McKinley, Amanda; Gallagher, Mia

2014-12-01

Maternal health behaviors during pregnancy/infancy can have a significant impact on maternal and child health. Many women engage in health risk behaviors during pregnancy. Multiple health behavior change (MHBC) interventions provide support to change health behaviors, but further information is needed on potential targets for such an intervention, as well as on the feasibility of technology use and e-health with this population. Two studies were completed as part of this project. First, a survey to examine views regarding health behaviors, desires to change health behaviors, and use of technology was completed by 68 pregnant women presenting for routine care. Based on survey findings, a brief MHBC e-health educational intervention related to breastfeeding, healthy nutrition/lifestyle, and stress management, using iPad(®) (Apple, Cupertino, CA) and text-messaging media, was then developed and piloted in the home with five pregnant women. In the survey, the majority of participants reported interest in receiving help to improve health behaviors, including losing weight or eating a healthier diet, breastfeeding, smoking cessation, and help with depression. The majority of women reported access to a computer with Internet, a phone, and frequent use of text messaging. In the second phase, results suggest that the home-based intervention was feasible and that the technology was convenient and user-friendly. Pregnant women are interested in improving health behaviors and found a brief technology-based e-health intervention feasible, convenient, and user-friendly. In-home technology appears to be a feasible and convenient approach to addressing the multiple health behavior change needs of pregnant women.

Predictors of food decision making: A systematic interdisciplinary mapping (SIM) review.

PubMed

Symmank, Claudia; Mai, Robert; Hoffmann, Stefan; Stok, F Marijn; Renner, Britta; Lien, Nanna; Rohm, Harald

2017-03-01

The number of publications on consumer food decision making and its predictors and correlates has been steadily increasing over the last three decades. Given that different scientific disciplines illuminate this topic from different perspectives, it is necessary to develop an interdisciplinary overview. The aim of this study is to conduct a systematic interdisciplinary mapping (SIM) review by using rapid review techniques to explore the state-of-the-art, and to identify hot topics and research gaps in this field. This interdisciplinary review includes 1,820 publications in 485 different journals and other types of publications from more than ten disciplines (including nutritional science, medicine/health science, psychology, food science and technology, business research, etc.) across a period of 60 years. The identified predictors of food decision making were categorized in line with the recently proposed DONE (Determinants Of Nutrition and Eating behavior) framework. After applying qualitative and quantitative analyses, this study reveals that most of the research emphasizes biological, psychological, and product-related predictors, whereas policy-related influences on food choice are scarcely considered. Copyright © 2016 Elsevier Ltd. All rights reserved.

Workshop on Emerging Technology and Data Analytics for Behavioral Health.

PubMed

Kotz, David; Lord, Sarah E; O'Malley, A James; Stark, Luke; Marsch, Lisa A

2018-06-20

Wearable and portable digital devices can support self-monitoring for patients with chronic medical conditions, individuals seeking to reduce stress, and people seeking to modify health-related behaviors such as substance use or overeating. The resulting data may be used directly by a consumer, or shared with a clinician for treatment, a caregiver for assistance, or a health coach for support. The data can also be used by researchers to develop and evaluate just-in-time interventions that leverage mobile technology to help individuals manage their symptoms and behavior in real time and as needed. Such wearable systems have huge potential for promoting delivery of anywhere-anytime health care, improving public health, and enhancing the quality of life for many people. The Center for Technology and Behavioral Health at Dartmouth College, a P30 "Center of Excellence" supported by the National Institute on Drug Abuse at the National Institutes of Health, conducted a workshop in February 2017 on innovations in emerging technology, user-centered design, and data analytics for behavioral health, with presentations by a diverse range of experts in the field. The workshop focused on wearable and mobile technologies being used in clinical and research contexts, with an emphasis on applications in mental health, addiction, and health behavior change. In this paper, we summarize the workshop panels on mobile sensing, user experience design, statistics and machine learning, and privacy and security, and conclude with suggested research directions for this important and emerging field of applying digital approaches to behavioral health. Workshop insights yielded four key directions for future research: (1) a need for behavioral health researchers to work iteratively with experts in emerging technology and data analytics, (2) a need for research into optimal user-interface design for behavioral health technologies, (3) a need for privacy-oriented design from the beginning of a novel technology, and (4) the need to develop new analytical methods that can scale to thousands of individuals and billions of data points. ©David Kotz, Sarah E Lord, A James O'Malley, Luke Stark, Lisa A. Marsch. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 20.06.2018.

Factors affecting the adoption of healthcare information technology.

PubMed

Phichitchaisopa, Nisakorn; Naenna, Thanakorn

2013-01-01

In order to improve the quality and performance of healthcare services, healthcare information technology is among the most important technology in healthcare supply chain management. This study sets out to apply and test the Unified Theory of Acceptance and Use of Technology (UTAUT), to examine the factors influencing healthcare Information Technology (IT) services. A structured questionnaire was developed and distributed to healthcare representatives in each province surveyed in Thailand. Data collected from 400 employees including physicians, nurses, and hospital staff members were tested the model using structural equation modeling technique. The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions. They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology. In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior. Based on research findings, in order for healthcare information technology to be widely adopted and used by healthcare staffs in healthcare supply chain management, the healthcare organizational management should improve healthcare staffs' behavioral intention and facilitating conditions.

Factors affecting the adoption of healthcare information technology

PubMed Central

Phichitchaisopa, Nisakorn; Naenna, Thanakorn

2013-01-01

In order to improve the quality and performance of healthcare services, healthcare information technology is among the most important technology in healthcare supply chain management. This study sets out to apply and test the Unified Theory of Acceptance and Use of Technology (UTAUT), to examine the factors influencing healthcare Information Technology (IT) services. A structured questionnaire was developed and distributed to healthcare representatives in each province surveyed in Thailand. Data collected from 400 employees including physicians, nurses, and hospital staff members were tested the model using structural equation modeling technique. The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions. They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology. In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior. Based on research findings, in order for healthcare information technology to be widely adopted and used by healthcare staffs in healthcare supply chain management, the healthcare organizational management should improve healthcare staffs' behavioral intention and facilitating conditions. PMID:26417235

Technology computer aided design of 29.5% efficient perovskite/interdigitated back contact silicon heterojunction mechanically stacked tandem solar cell for energy-efficient applications

NASA Astrophysics Data System (ADS)

Pandey, Rahul; Chaujar, Rishu

2017-04-01

A 29.5% efficient perovskite/SiC passivated interdigitated back contact silicon heterojunction (IBC-SiHJ) mechanically stacked tandem solar cell device has been designed and simulated. This is a substantial improvement of 40% and 15%, respectively, compared to the transparent perovskite solar cell (21.1%) and Si solar cell (25.6%) operated individually. The perovskite solar cell has been used as a top subcell, whereas 250- and 25-μm-thick IBC-SiHJ solar cells have been used as bottom subcells. The realistic technology computer aided design analysis has been performed to understand the physical processes in the device and to make reliable predictions of the behavior. The performance of the top subcell has been obtained for different acceptor densities and hole mobility in Spiro-MeOTAD along with the impact of counter electrode work function. To incorporate the effect of material quality, the influence of carrier lifetimes has also been studied for perovskite top and IBC-SiHJ bottom subcells. The optical and electrical behavior of the devices has been obtained for both standalone as well as tandem configuration. Results reported in this study reveal that the proposed four-terminal tandem device may open a new door for cost-effective and energy-efficient applications.

Application of Virtual Reality Methods to Obesity Prevention and Management Research

PubMed Central

Persky, Susan

2011-01-01

There is a great need for empirical evidence to inform clinical prevention and management of overweight and obesity. Application of virtual reality (VR) methods to this research agenda could present considerable advantages. Use of VR methods in basic and applied obesity prevention and treatment research is currently extremely limited. However, VR has been employed for social and behavioral research in many other domains where it has demonstrated validity and utility. Advantages of VR technologies as research tools include the ability to situate hypothetical research scenarios in realistic settings, tight experimental control inherent in virtual environments, the ability to manipulate and control any and all scenario elements, and enhanced behavioral measurement opportunities. The means by which each of these features could enhance obesity prevention and management research is discussed and illustrated in the context of an example research study. Challenges associated with the application of VR methods, such as technological limitations and cost, are also considered. By employing experimental VR methods to interrogate clinical encounters and other health-related situations, researchers may be able to elucidate causal relationships, strengthen theoretical models, and identify potential targets for intervention. In so doing, researchers stand to make important contributions to evidence-based practice innovation in weight management and obesity prevention. PMID:21527102

Pervasive healthcare: paving the way for a pervasive, user-centered and preventive healthcare model.

PubMed

Arnrich, B; Mayora, O; Bardram, J; Tröster, G

2010-01-01

The aging of the population creates pressure on the healthcare systems in various ways. A massive increase of chronic disease conditions and age-related illness are predicted as the dominant forces driving the future health care. The objective of this paper is to present future research demands in pervasive healthcare with the goal to meet the healthcare challenges by paving the way for a pervasive, user-centered and preventive healthcare model. This paper presents recent methodological approaches and proposes future research topics in three areas: i) pervasive, continuous and reliable long-term monitoring systems; ii) prevention through pervasive technology as a key element to maintain lifelong wellness; and iii) design and evaluation methods for ubiquitous, patient-centric technologies. Pervasive technology has been identified as a strong asset for achieving the vision of user-centered preventive healthcare. In order to make this vision a reality, new strategies for design, development and evaluation of technology have to find a common denominator and consequently interoperate. Moreover, the potential of pervasive healthcare technologies offers new opportunities beyond traditional disease treatment and may play a major role in prevention, e.g. motivate healthy behavior and disease prevention throughout all stages of life. In this sense, open challenges in future research have to be addressed such as the variability of health indicators between individuals and the manner in which relevant health indicators are provided to the users in order to maximize their motivation to mitigate or prevent unhealthy behaviors. Additionally, collecting evidence that pervasive technology improves health is seen as one of the toughest challenges. Promising approaches are recently introduced, such as "clinical proof-of-concept" and balanced observational studies. The paper concludes that pervasive healthcare will enable a paradigm shift from the established centralized healthcare model to a pervasive, user-centered and preventive overall lifestyle health management. In order to provide these new opportunities everywhere, anytime and to anyone, future research in the fields of pervasive sensing, pervasive prevention and evaluation of pervasive technology is inevitably needed.

The Effect of Cognitive Behavior Therapy on Decision Making in Adolescents Who Self-Harm: A Pilot Study

ERIC Educational Resources Information Center

Oldershaw, Anna; Simic, Mima; Grima, Emanuela; Jollant, Fabrice; Richards, Clair; Taylor, Lucy; Schmidt, Ulrike

2012-01-01

Research shows poor decision making in adolescents who self-harm and a positive correlation between decision-making abilities and duration since last self-harm episode. This exploratory study investigated whether decision making in self-harming adolescents could be improved through treatment with a novel cognitive behavior therapy (CBT). It also…

A Triadic Reflective-Impulsive-Interoceptive Awareness Model of General and Impulsive Information System Use: Behavioral Tests of Neuro-Cognitive Theory

PubMed Central

Turel, Ofir; Bechara, Antoine

2016-01-01

This study examines a behavioral tripartite model developed in the field of addiction, and applies it here to understanding general and impulsive information technology use. It suggests that technology use is driven by two information-processing brain systems: reflective and impulsive, and that their effects on use are modulated by interoceptive awareness processes. The resultant reflective-impulsive-interoceptive awareness model is tested in two behavioral studies. Both studies employ SEM techniques to time-lagged self-report data from n1 = 300 and n2 = 369 social networking site users. Study 1 demonstrated that temptations augment the effect of habit on technology use, and reduce the effect of satisfaction on use. Study 2 showed that temptations strengthen the effect of habit on impulsive technology use, and weaken the effect of behavioral expectations on impulsive technology use. Hence, the results consistently support the notion that information technology users' behaviors are influenced by reflective and impulsive information processing systems; and that the equilibrium of these systems is determined, at least in part, by one's temptations. These results can serve as a basis for understanding the etiology of modern day addictions. PMID:27199834

A Triadic Reflective-Impulsive-Interoceptive Awareness Model of General and Impulsive Information System Use: Behavioral Tests of Neuro-Cognitive Theory.

PubMed

Turel, Ofir; Bechara, Antoine

2016-01-01

This study examines a behavioral tripartite model developed in the field of addiction, and applies it here to understanding general and impulsive information technology use. It suggests that technology use is driven by two information-processing brain systems: reflective and impulsive, and that their effects on use are modulated by interoceptive awareness processes. The resultant reflective-impulsive-interoceptive awareness model is tested in two behavioral studies. Both studies employ SEM techniques to time-lagged self-report data from n 1 = 300 and n 2 = 369 social networking site users. Study 1 demonstrated that temptations augment the effect of habit on technology use, and reduce the effect of satisfaction on use. Study 2 showed that temptations strengthen the effect of habit on impulsive technology use, and weaken the effect of behavioral expectations on impulsive technology use. Hence, the results consistently support the notion that information technology users' behaviors are influenced by reflective and impulsive information processing systems; and that the equilibrium of these systems is determined, at least in part, by one's temptations. These results can serve as a basis for understanding the etiology of modern day addictions.

Mobile Technology in the Perioperative Arena: Rapid Evolution and Future Disruption.

PubMed

Rothman, Brian S; Gupta, Rajnish K; McEvoy, Matthew D

2017-03-01

Throughout the history of medicine, physicians have relied upon disruptive innovations and technologies to improve the quality of care delivered, patient outcomes, and patient satisfaction. The implementation of mobile technology in health care is quickly becoming the next disruptive technology. We first review the history of mobile technology over the past 3 decades, discuss the impact of hardware and software, explore the rapid expansion of applications (apps), and evaluate the adoption of mobile technology in health care. Next, we discuss how technology serves as the vehicle that can transform traditional didactic learning into one that adapts to the learning behavior of the student by using concepts such as the flipped classroom, just-in-time learning, social media, and Web 2.0/3.0. The focus in this modern education paradigm is shifting from teacher-centric to learner-centric, including providers and patients, and is being delivered as context-sensitive, or semantic, learning. Finally, we present the methods by which connected health systems via mobile devices increase information collection and analysis from patients in both clinical care and research environments. This enhanced patient and provider connection has demonstrated benefits including reducing unnecessary hospital readmissions, improved perioperative health maintenance coordination, and improved care in remote and underserved areas. A significant portion of the future of health care, and specifically perioperative medicine, revolves around mobile technology, nimble learners, patient-specific information and decision-making, and continuous connectivity between patients and health care systems. As such, an understanding of developing or evaluating mobile technology likely will be important for anesthesiologists, particularly with an ever-expanding scope of practice in perioperative medicine.

Escalation research: Providing new frontiers for applying behavior analysis to organizational behavior

PubMed Central

Goltz, Sonia M.

2000-01-01

Decision fiascoes such as escalation of commitment, the tendency of decision makers to “throw good money after bad,” can have serious consequences for organizations and are therefore of great interest in applied research. This paper discusses the use of behavior analysis in organizational behavior research on escalation. Among the most significant aspects of behavior-analytic research on escalation is that it has indicated that both the patterns of outcomes that decision makers have experienced for past decisions and the patterns of responses that they make are critical for understanding escalation. This research has also stimulated the refinement of methods by researchers to better assess decision making and the role reinforcement plays in it. Finally, behavior-analytic escalation research has not only indicated the utility of reinforcement principles for predicting more complex human behavior but has also suggested some additional areas for future exploration of decision making using behavior analysis. PMID:22478347

An aggregate method to calibrate the reference point of cumulative prospect theory-based route choice model for urban transit network

NASA Astrophysics Data System (ADS)

Zhang, Yufeng; Long, Man; Luo, Sida; Bao, Yu; Shen, Hanxia

2015-12-01

Transit route choice model is the key technology of public transit systems planning and management. Traditional route choice models are mostly based on expected utility theory which has an evident shortcoming that it cannot accurately portray travelers' subjective route choice behavior for their risk preferences are not taken into consideration. Cumulative prospect theory (CPT), a brand new theory, can be used to describe travelers' decision-making process under the condition of uncertainty of transit supply and risk preferences of multi-type travelers. The method to calibrate the reference point, a key parameter to CPT-based transit route choice model, determines the precision of the model to a great extent. In this paper, a new method is put forward to obtain the value of reference point which combines theoretical calculation and field investigation results. Comparing the proposed method with traditional method, it shows that the new method can promote the quality of CPT-based model by improving the accuracy in simulating travelers' route choice behaviors based on transit trip investigation from Nanjing City, China. The proposed method is of great significance to logical transit planning and management, and to some extent makes up the defect that obtaining the reference point is solely based on qualitative analysis.

The use and value of polling to determine public opinion on GMOs in Europe: limitations and ways forward.

PubMed

Desaint, Nilsy; Varbanova, Mariana

2013-01-01

In this article, we review and assess existing surveys that attempt to gauge public opinion about GM crops. This review shows that consumer surveys can be something of a blunt instrument. Questionnaires, however well-constructed and professionally delivered, are answered in a vacuum of knowledge and elicit misleading responses. People recurrently admit they lack information on the technology behind GM food. It is a part of the general unfamiliarity with the food production process with which people show equal, if not greater, concern. Lacking control over a process involving such an emotive subject like food makes people uneasy and reluctant to accept "unknowns". In addition, if people give answers to hypothetical questions, they do so as "cautious citizens" rather than consumers and this is not a good guide to actual behavior in real life. Qualitative studies using focus groups can be a much better guide to how people really feel about issues, but they also need expert facilitation and analysis to be of real value. An even better guide to acceptance and purchasing behavior (if that is the objective) is to put people in a situation where they are actually making a choice of whether or not to buy GM products.

Decision insight into stakeholder conflict for ERN.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.

Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effectsmore » in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.« less

Examining the Intention to Use Technology among Pre-Service Teachers: An Integration of the Technology Acceptance Model and Theory of Planned Behavior

ERIC Educational Resources Information Center

Teo, Timothy

2012-01-01

This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…

Toward an Effective Long-Term Strategy for Preventing Motor Vehicle Crashes and Injuries

PubMed Central

Mawson, Anthony R.; Walley, E. Kenneth

2014-01-01

Casualties due to motor vehicle crashes (MVCs) include some 40,000 deaths each year in the United States and one million deaths worldwide. One strategy that has been recommended for improving automobile safety is to lower speed limits and enforce them with speed cameras. However, motor vehicles can be hazardous even at low speeds whereas properly protected human beings can survive high-speed crashes without injury. Emphasis on changing driver behavior as the focus for road safety improvements has been largely unsuccessful; moreover, drivers today are increasingly distracted by secondary tasks such as cell phone use and texting. Indeed, the true limiting factor in vehicular safety is the capacity of human beings to sense and process information and to make rapid decisions. Given that dramatic reductions in injuries and deaths from MVCs have occurred over the past century due to improvements in safety technology, despite increases in the number of vehicles on the road and miles driven per vehicle, we propose that an effective long-term strategy for reducing MVC-related injury would be continued technological innovation in vehicle design, aimed at progressively removing the driver from routine operational decision-making. Once this is achieved, high rates of speed could be achieved on open highways, with minimal risk of crashes and injury to occupants and pedestrians. PMID:25116634

Role-playing simulation as an educational tool for health care personnel: developing an embedded assessment framework.

PubMed

Libin, Alexander; Lauderdale, Manon; Millo, Yuri; Shamloo, Christine; Spencer, Rachel; Green, Brad; Donnellan, Joyce; Wellesley, Christine; Groah, Suzanne

2010-04-01

Simulation- and video game-based role-playing techniques have been proven effective in changing behavior and enhancing positive decision making in a variety of professional settings, including education, the military, and health care. Although the need for developing assessment frameworks for learning outcomes has been clearly defined, there is a significant gap between the variety of existing multimedia-based instruction and technology-mediated learning systems and the number of reliable assessment algorithms. This study, based on a mixed methodology research design, aims to develop an embedded assessment algorithm, a Knowledge Assessment Module (NOTE), to capture both user interaction with the educational tool and knowledge gained from the training. The study is regarded as the first step in developing an assessment framework for a multimedia educational tool for health care professionals, Anatomy of Care (AOC), that utilizes Virtual Experience Immersive Learning Simulation (VEILS) technology. Ninety health care personnel of various backgrounds took part in online AOC training, choosing from five possible scenarios presenting difficult situations of everyday care. The results suggest that although the simulation-based training tool demonstrated partial effectiveness in improving learners' decision-making capacity, a differential learner-oriented approach might be more effective and capable of synchronizing educational efforts with identifiable relevant individual factors such as sociobehavioral profile and professional background.

Toward an effective long-term strategy for preventing motor vehicle crashes and injuries.

PubMed

Mawson, Anthony R; Walley, E Kenneth

2014-08-11

Casualties due to motor vehicle crashes (MVCs) include some 40,000 deaths each year in the United States and one million deaths worldwide. One strategy that has been recommended for improving automobile safety is to lower speed limits and enforce them with speed cameras. However, motor vehicles can be hazardous even at low speeds whereas properly protected human beings can survive high-speed crashes without injury. Emphasis on changing driver behavior as the focus for road safety improvements has been largely unsuccessful; moreover, drivers today are increasingly distracted by secondary tasks such as cell phone use and texting. Indeed, the true limiting factor in vehicular safety is the capacity of human beings to sense and process information and to make rapid decisions. Given that dramatic reductions in injuries and deaths from MVCs have occurred over the past century due to improvements in safety technology, despite increases in the number of vehicles on the road and miles driven per vehicle, we propose that an effective long-term strategy for reducing MVC-related injury would be continued technological innovation in vehicle design, aimed at progressively removing the driver from routine operational decision-making. Once this is achieved, high rates of speed could be achieved on open highways, with minimal risk of crashes and injury to occupants and pedestrians.

Ergonomics and design for sustainability in healthcare: ambient assisted living and the social-environmental impact of patients lifestyle.

PubMed

Andreoni, Giuseppe; Arslan, Pelin; Costa, Fiammetta; Muschiato, Sabrina; Romero, Maximiliano

2012-01-01

This work presents considerations on Ergonomics and Design for Sustainability in the healthcare field based on research experiences of the Technology and Design for Healthcare (TeDH) research group of INDACO (Industrial design, communication, arts and fashion) department of Politecnico di Milano. In order to develop a multidisciplinary approach to design able to answer to specific user needs such as elderly in an environmental sustainable way (1) this paper shows the results we achieved concerning ergonomics and environmental impact in product development (2), the extension of this approach to interior and home design and the advantage of the application of Information Communication Technologies (ICT). ICT can help people with special needs to make their everyday life easier and more safe, at the same time, ICT can make social-environmental impact of everyday behavior evident and can be applied to manage sustainability. The specific theme is thus to integrate ergonomics and sustainability competences in the development of Ambient Assisted Living through a Product- Service System approach. The concept of product service system has the potential to improve product performances and services, establish new relations and networks with different actors in order to satisfy user needs and apply a systems approach considering environmental, social and economic factors in the users' environment.

Career exploration behavior of Korean medical students

PubMed Central

2017-01-01

Purpose This study is to analyze the effects of medical students’ social support and career barriers on career exploration behavior mediated by career decision-making self-efficacy. Methods We applied the t-test to investigate the difference among the variables based on gender and admission types. Also, we performed path analysis to verify the effect of perceived career barriers and social support on career exploration behavior with career decision efficacy as a mediator. Results First, we noted statistically significant gender and admission type difference in social support, career barriers and career exploration behaviors. Second, social support and career barriers were found to influence career exploration behavior as a mediating variable for career decision-making self-efficacy. Conclusion Social support and career barriers as perceived by medical students influenced their career exploration behavior, with their decision-making self-efficacy serving as a full mediator. Therefore, this study has educational implications for career program development and educational training for career decision-making self-efficacy. PMID:28870020

A decision-making model based on a spiking neural circuit and synaptic plasticity.

PubMed

Wei, Hui; Bu, Yijie; Dai, Dawei

2017-10-01

To adapt to the environment and survive, most animals can control their behaviors by making decisions. The process of decision-making and responding according to cues in the environment is stable, sustainable, and learnable. Understanding how behaviors are regulated by neural circuits and the encoding and decoding mechanisms from stimuli to responses are important goals in neuroscience. From results observed in Drosophila experiments, the underlying decision-making process is discussed, and a neural circuit that implements a two-choice decision-making model is proposed to explain and reproduce the observations. Compared with previous two-choice decision making models, our model uses synaptic plasticity to explain changes in decision output given the same environment. Moreover, biological meanings of parameters of our decision-making model are discussed. In this paper, we explain at the micro-level (i.e., neurons and synapses) how observable decision-making behavior at the macro-level is acquired and achieved.

The Classroom Teacher's Technology Survival Guide

ERIC Educational Resources Information Center

Johnson, Doug

2012-01-01

This is a must-have resource for all K-12 teachers and administrators who want to really make the best use of available technologies. Written by Doug Johnson, an expert in educational technology, "The Classroom Teacher's Technology Survival Guide" is replete with practical tips teachers can easily use to engage their students and make their…

Exploring the link between environmental identity, behaviors and decision making

NASA Astrophysics Data System (ADS)

Freed, Allison

This study was conducted with undergraduate students at a large university to investigate the association between environmental identity, pro-environmental behaviors and environmental decision-making. This study explored how environmental identity as defined by Clayton (2003) influenced the type of pro-environmental behaviors individuals choose to participate in. Environmental decision-making based on Kahneman's (2003, 2011) System 1 and System 2 framework was also assessed in association with environmental identity. A survey including the Environmental Identity Survey (Clayton, 2003), the Environmentally Responsible Behaviors Index (Smith-Sebasto & D'Acosta, 1995), and a Decision Making Questionnaire were administered. After administering the surveys, eight participants were chosen for a 60-minute interview. The quantitative results of the study showed there was a significant relationship between environmental identity and participating in environmental behaviors more often. There was also a significant relation between environmental identity and making the decision to recycle in a fast and automatic way. The interview results showed that participants with both a strong and a weak environmental identity recycled often and thought it was a fast decision. The results of this study show that certain components of environmental identity are important, but other factors like the physical environment and social norms influence the thinking that goes into recycling more than environmental identity alone. This study provides evidence of the importance of social norms and environmental structures in fostering pro-environmental behaviors and influencing the type of thinking that goes into making environmental decisions. Keywords: environmental identity, environmental behaviors, System 1, System 2, recycling.

A model for ferromagnetic shape memory thin film actuators

NASA Astrophysics Data System (ADS)

Lee, Kwok-Lun; Seelecke, Stefan

2005-05-01

The last decade has witnessed the discovery of materials combining shape memory behavior with ferromagnetic properties (FSMAs), see James & Wuttig1, James et al.2, Ullakko et al.3. These materials feature the so-called giant magnetostrain effect, which, in contrast to conventional magnetostriction is due motion of martensite twins. This effect has motivated the development of a new class of active materials transducers, which combine intrinsic sensing capabilities with superior actuation speed and improved efficiency when compared to conventional shape memory alloys. Currently, thin film technology is being developed intensively in order to pave the way for applications in micro- and nanotechnology. As an example, Kohl et al., recently proposed a novel actuation mechanism based on NiMnGa thin film technology, which makes use of both the ferromagnetic transition and the martensitic transformation allowing the realization of an almost perfect antagonism in a single component part. The implementation of the mechanism led to the award-winning development of an optical microscanner. Possible applications in nanotechnology arise, e.g., by combination of smart NiMnGa actuators with scanning probe technologies. The key aspect of Kohl's device is the fact that it employs electric heating for actuation, which requires a thermo-magneto-mechanical model for analysis. The research presented in this paper aims at the development of a model that simulates this particular material behavior. It is based on ideas originally developed for conventional shape memory alloy behavior, (Mueller & Achenbach, Achenbach, Seelecke, Seelecke & Mueller) and couples it with a simple expression for the nonlinear temperature- and position-dependent effective magnetic force. This early and strongly simplified version does not account for a full coupling between SMA behavior and ferromagnetism yet, and does not incorporate the hysteretic character of the magnetization phenomena either. It can however be used to explain the basic actuation mechanism and highlight the role of coupled magnetic and martensitic transformation with respect to the actuator performance. In particular will we be able to develop guidelines for desirable alloy compositions, such that the resulting transition temperatures guarantee optimized actuator performance.

The developmental dynamics of behavioral growth processes in rodent egocentric and allocentric space.

PubMed

Golani, Ilan

2012-06-01

In this review I focus on how three methodological principles advocated by Philip Teitelbaum influenced my work to this day: that similar principles of organization should be looked for in ontogeny and recovery of function; that the order of emergence of behavioral components provides a view on the organization of that behavior; and that the components of behavior should be exhibited by the animal itself in relatively pure form. I start by showing how these principles influenced our common work on the developmental dynamics of rodent egocentric space, and then proceed to describe how these principles affected my work with Yoav Benjamini and others on the developmental dynamics of rodent allocentric space. We analyze issues traditionally addressed by physiological psychologists with methods borrowed from ethology, EW (Eshkol-Wachman) movement notation, dynamical systems and exploratory data analysis. Then we show how the natural origins of axes embodied by the behavior of the organism itself, are used by us as the origins of axes for the measurement of the developmental moment-by-moment dynamics of behavior. Using this methodology we expose similar principles of organization across situations, species and preparations, provide a developmental view on the organization of behavior, expose the natural components of behavior in relatively pure form, and reveal how low level primitives generate higher level constructs. Advances in tracking technology should allow us to study how movements in egocentric and allocentric spaces interlace. Tracking of multi-limb coordination, progress in online recording of neural activity in freely moving animals, and the unprecedented accumulation of genetically engineered mouse preparations makes the behavioral ground plan exposed in this review essential for a systematic study of the brain/behavior interface. Copyright © 2012 Elsevier B.V. All rights reserved.

Nonrational processes in ethical decision making.

PubMed

Rogerson, Mark D; Gottlieb, Michael C; Handelsman, Mitchell M; Knapp, Samuel; Younggren, Jeffrey

2011-10-01

Most current ethical decision-making models provide a logical and reasoned process for making ethical judgments, but these models are empirically unproven and rely upon assumptions of rational, conscious, and quasilegal reasoning. Such models predominate despite the fact that many nonrational factors influence ethical thought and behavior, including context, perceptions, relationships, emotions, and heuristics. For example, a large body of behavioral research has demonstrated the importance of automatic intuitive and affective processes in decision making and judgment. These processes profoundly affect human behavior and lead to systematic biases and departures from normative theories of rationality. Their influence represents an important but largely unrecognized component of ethical decision making. We selectively review this work; provide various illustrations; and make recommendations for scientists, trainers, and practitioners to aid them in integrating the understanding of nonrational processes with ethical decision making.

Taiwanese Preservice Teachers' Science, Technology, Engineering, and Mathematics Teaching Intention

ERIC Educational Resources Information Center

Lin, Kuen-Yi; Williams, P. John

2016-01-01

This study applies the theory of planned behavior as a basis for exploring the impact of knowledge, values, subjective norms, perceived behavioral controls, and attitudes on the behavioral intention toward science, technology, engineering, and mathematics (STEM) education among Taiwanese preservice science teachers. Questionnaires (N = 139)…

Early Career Teacher Professional Development: Bridging Simulation Technology with Evidence-Based Behavior Management

ERIC Educational Resources Information Center

Shernoff, Elisa; Frazier, Stacy; Lisetti, Christine; Buche, Cedric; Lunn, Stephanie; Brown, Claire; Delmarre, Alban; Chou, Tommy; Gabbard, Joseph; Morgan, Emily

2018-01-01

Early career teachers working in high poverty schools face of overwhelming challenges navigating disruptive behaviors with studies highlighting behavior problems as one of the strongest predictors of turnover (Ingersoll & Smith, 2003). Simulation-based technology leverages important pedagogical strengths (e.g., realistic training context,…

Preservice Teachers' Beliefs, Attitudes, and Motivation about Technology Integration

ERIC Educational Resources Information Center

Cullen, Theresa A.; Greene, Barbara A.

2011-01-01

The Theory of Planned Behavior was used as a framework, along with Self-Determination Theory, to examine preservice teachers' motivation to include technology in their future teaching. We modified instruments to measure theoretical constructs to be applied to plans for the use of technology. Measured were: perceived behavioral control, attitudes…

Technology in Our Schools.

ERIC Educational Resources Information Center

Rukeyser, William L.; Kuersten, Joan

1998-01-01

Parents must be well-informed about computer technology in order to make appropriate decisions for their schools. The paper discusses pro's and con's of computers in the schools, the importance of dispelling myths about education and technology, and parents' roles in making decisions. (SM)

Reminders of behavioral disinhibition increase public conformity in the Asch paradigm and behavioral affiliation with ingroup members

PubMed Central

van den Bos, Kees; Lind, E. A.; Bommelé, Jeroen; VandeVondele, Sebastian D. J.

2015-01-01

This paper argues that being in the Asch situation, where there is a felt need to conform to others’ faulty behaviors, poses a social threat to people. Furthermore, participating in a psychology experiment in which you will have to interact with other participants might trigger sense-making processes. The paper proposes that these assumed threats or sense-making processes are likely to activate the behavioral inhibition system, making people respond in more inhibited ways than they normally would be inclined to do. As a result, people’s tendency to affiliate behaviorally with persons who are similar to them can be inhibited. The implication is that lowering behavioral inhibition (by experimentally reminding people about having acted without behavioral inhibitions) should lead to more public conformity in the Asch situation and stronger behavioral affiliation with ingroup members than not being reminded about behavioral disinhibition. Findings of four experiments support this line of reasoning. These findings are discussed in terms of behavioral inhibition and behavioral affiliation. Alternative accounts of the data that focus on social belongingness threats and optimal distinctiveness are also considered. PMID:26175695

Make or Buy: Cost Impacts of Additive Manufacturing, 3D Laser Scanning Technology, and Collaborative Product Lifecycle Management on Ship Maintenance and Modernization

DTIC Science & Technology

2015-05-01

management during operations 4 Potential Technology 3: Additive Manufacturing (“ 3D Printing ”) 5 • 3D design/image (e.g. from 3D LS) of final part...1 Make or Buy: Cost Impacts of Additive Manufacturing, 3D Laser Scanning Technology, and Collaborative Product Lifecycle Management on Ship...DATES COVERED 00-00-2015 to 00-00-2015 4. TITLE AND SUBTITLE Make or Buy: Cost Impacts of Additive Manufacturing, 3D Laser Scanning Technology

"We noticed that suddenly the country has become full of MRI". Policy makers' views on diffusion and use of health technologies in Iran

PubMed Central

2010-01-01

Objective Uncontrolled proliferation of health technologies (HT) is one contributor to the increasing pressure on health systems to adopt new technologies. With limited resources, policy-makers encounter difficulties in fulfilling their responsibility to meet the healthcare needs of the population. The aim of this study is to explore how policy-makers' reason about the diffusion and utilization of health technologies in Iran using magnetic resonance imaging (MRI) and interferon beta as tracers. Method This qualitative exploration complements quantitative data generated in a research project investigating the diffusion and utilization of MRI and interferon beta in Iran. Qualitative semi-structured interviews were conducted with 13 informants in different positions and levels of authority in the Ministry of Health (MOH), University of Medical Sciences, Health Insurance Organizations, and Parliament. The data was analysed using the framework approach. Findings Although policy-makers appeared to be positive to health technology assessment (HTA), the processes of policy-making described by the interviewees did not seem to be based on a full understanding of this (discipline). Several obstacles to applying knowledge about HT and HTA were described. The current official plan for MRI adoption and diffusion in the country was said not to be followed, and no such plan was described for interferon beta. Instead, market forces such as advertising, and physician and consumer demand, appear to have strong influence on HT diffusion and use. Dual practice may have increased the induced demand and also reduced the supervision of the private sector by the MOH. Conclusion Management instability and lack of coordination in the MOH were found to be important obstacles to accumulation of knowledge and experience which, in turn, could have led to suboptimal managerial and policy-making processes. Furthermore marketing should be controlled in order to avoid creating unnecessary patient demands and negative influences on physicians' behavior. PMID:20370906

"We noticed that suddenly the country has become full of MRI". Policy makers' views on diffusion and use of health technologies in Iran.

PubMed

Palesh, Mohammad; Tishelman, Carol; Fredrikson, Sten; Jamshidi, Hamidreza; Tomson, Göran; Emami, Azita

2010-04-06

Uncontrolled proliferation of health technologies (HT) is one contributor to the increasing pressure on health systems to adopt new technologies. With limited resources, policy-makers encounter difficulties in fulfilling their responsibility to meet the healthcare needs of the population. The aim of this study is to explore how policy-makers' reason about the diffusion and utilization of health technologies in Iran using magnetic resonance imaging (MRI) and interferon beta as tracers. This qualitative exploration complements quantitative data generated in a research project investigating the diffusion and utilization of MRI and interferon beta in Iran. Qualitative semi-structured interviews were conducted with 13 informants in different positions and levels of authority in the Ministry of Health (MOH), University of Medical Sciences, Health Insurance Organizations, and Parliament. The data was analysed using the framework approach. Although policy-makers appeared to be positive to health technology assessment (HTA), the processes of policy-making described by the interviewees did not seem to be based on a full understanding of this (discipline). Several obstacles to applying knowledge about HT and HTA were described. The current official plan for MRI adoption and diffusion in the country was said not to be followed, and no such plan was described for interferon beta. Instead, market forces such as advertising, and physician and consumer demand, appear to have strong influence on HT diffusion and use. Dual practice may have increased the induced demand and also reduced the supervision of the private sector by the MOH. Management instability and lack of coordination in the MOH were found to be important obstacles to accumulation of knowledge and experience which, in turn, could have led to suboptimal managerial and policy-making processes. Furthermore marketing should be controlled in order to avoid creating unnecessary patient demands and negative influences on physicians' behavior.

Analysis of the technology acceptance model in examining hospital nurses' behavioral intentions toward the use of bar code medication administration.

PubMed

Song, Lunar; Park, Byeonghwa; Oh, Kyeung Mi

2015-04-01

Serious medication errors continue to exist in hospitals, even though there is technology that could potentially eliminate them such as bar code medication administration. Little is known about the degree to which the culture of patient safety is associated with behavioral intention to use bar code medication administration. Based on the Technology Acceptance Model, this study evaluated the relationships among patient safety culture and perceived usefulness and perceived ease of use, and behavioral intention to use bar code medication administration technology among nurses in hospitals. Cross-sectional surveys with a convenience sample of 163 nurses using bar code medication administration were conducted. Feedback and communication about errors had a positive impact in predicting perceived usefulness (β=.26, P<.01) and perceived ease of use (β=.22, P<.05). In a multiple regression model predicting for behavioral intention, age had a negative impact (β=-.17, P<.05); however, teamwork within hospital units (β=.20, P<.05) and perceived usefulness (β=.35, P<.01) both had a positive impact on behavioral intention. The overall bar code medication administration behavioral intention model explained 24% (P<.001) of the variance. Identified factors influencing bar code medication administration behavioral intention can help inform hospitals to develop tailored interventions for RNs to reduce medication administration errors and increase patient safety by using this technology.

Making chaotic behavior in a damped linear harmonic oscillator

NASA Astrophysics Data System (ADS)

Konishi, Keiji

2001-06-01

The present Letter proposes a simple control method which makes chaotic behavior in a damped linear harmonic oscillator. This method is a modified scheme proposed in paper by Wang and Chen (IEEE CAS-I 47 (2000) 410) which presents an anti-control method for making chaotic behavior in discrete-time linear systems. We provide a systematic procedure to design parameters and sampling period of a feedback controller. Furthermore, we show that our method works well on numerical simulations.

Psychopathic individuals exhibit but do not avoid regret during counterfactual decision making.

PubMed

Baskin-Sommers, Arielle; Stuppy-Sullivan, Allison M; Buckholtz, Joshua W

2016-12-13

Psychopathy is associated with persistent antisocial behavior and a striking lack of regret for the consequences of that behavior. Although explanatory models for psychopathy have largely focused on deficits in affective responsiveness, recent work indicates that aberrant value-based decision making may also play a role. On that basis, some have suggested that psychopathic individuals may be unable to effectively use prospective simulations to update action value estimates during cost-benefit decision making. However, the specific mechanisms linking valuation, affective deficits, and maladaptive decision making in psychopathy remain unclear. Using a counterfactual decision-making paradigm, we found that individuals who scored high on a measure of psychopathy were as or more likely than individuals low on psychopathy to report negative affect in response to regret-inducing counterfactual outcomes. However, despite exhibiting intact affective regret sensitivity, they did not use prospective regret signals to guide choice behavior. In turn, diminished behavioral regret sensitivity predicted a higher number of prior incarcerations, and moderated the relationship between psychopathy and incarceration history. These findings raise the possibility that maladaptive decision making in psychopathic individuals is not a consequence of their inability to generate or experience negative emotions. Rather, antisocial behavior in psychopathy may be driven by a deficit in the generation of forward models that integrate information about rules, costs, and goals with stimulus value representations to promote adaptive behavior.

Psychopathic individuals exhibit but do not avoid regret during counterfactual decision making

PubMed Central

Baskin-Sommers, Arielle; Stuppy-Sullivan, Allison M.; Buckholtz, Joshua W.

2016-01-01

Psychopathy is associated with persistent antisocial behavior and a striking lack of regret for the consequences of that behavior. Although explanatory models for psychopathy have largely focused on deficits in affective responsiveness, recent work indicates that aberrant value-based decision making may also play a role. On that basis, some have suggested that psychopathic individuals may be unable to effectively use prospective simulations to update action value estimates during cost–benefit decision making. However, the specific mechanisms linking valuation, affective deficits, and maladaptive decision making in psychopathy remain unclear. Using a counterfactual decision-making paradigm, we found that individuals who scored high on a measure of psychopathy were as or more likely than individuals low on psychopathy to report negative affect in response to regret-inducing counterfactual outcomes. However, despite exhibiting intact affective regret sensitivity, they did not use prospective regret signals to guide choice behavior. In turn, diminished behavioral regret sensitivity predicted a higher number of prior incarcerations, and moderated the relationship between psychopathy and incarceration history. These findings raise the possibility that maladaptive decision making in psychopathic individuals is not a consequence of their inability to generate or experience negative emotions. Rather, antisocial behavior in psychopathy may be driven by a deficit in the generation of forward models that integrate information about rules, costs, and goals with stimulus value representations to promote adaptive behavior. PMID:27911790

Supervised and Unsupervised Learning Technology in the Study of Rodent Behavior

PubMed Central

Gris, Katsiaryna V.; Coutu, Jean-Philippe; Gris, Denis

2017-01-01

Quantifying behavior is a challenge for scientists studying neuroscience, ethology, psychology, pathology, etc. Until now, behavior was mostly considered as qualitative descriptions of postures or labor intensive counting of bouts of individual movements. Many prominent behavioral scientists conducted studies describing postures of mice and rats, depicting step by step eating, grooming, courting, and other behaviors. Automated video assessment technologies permit scientists to quantify daily behavioral patterns/routines, social interactions, and postural changes in an unbiased manner. Here, we extensively reviewed published research on the topic of the structural blocks of behavior and proposed a structure of behavior based on the latest publications. We discuss the importance of defining a clear structure of behavior to allow professionals to write viable algorithms. We presented a discussion of technologies that are used in automated video assessment of behavior in mice and rats. We considered advantages and limitations of supervised and unsupervised learning. We presented the latest scientific discoveries that were made using automated video assessment. In conclusion, we proposed that the automated quantitative approach to evaluating animal behavior is the future of understanding the effect of brain signaling, pathologies, genetic content, and environment on behavior. PMID:28804452

Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study

PubMed Central

Basen-Engquist, Karen; Cox, Matthew G; Lyons, Elizabeth J; Carmack, Cindy L; Blalock, Janice A; Demark-Wahnefried, Wendy

2016-01-01

Background Effective, broad-reaching channels are important for the delivery of health behavior interventions in order to meet the needs of the growing population of cancer survivors in the United States. New technology presents opportunities to increase the reach of health behavior change interventions and therefore their overall impact. However, evidence suggests that older adults may be slower in their adoption of these technologies than the general population. Survivors’ interest for more traditional channels of delivery (eg, clinic) versus new technology-based channels (eg, smartphones) may depend on a variety of factors, including demographics, current health status, and the behavior requiring intervention. Objective The aim of this study was to determine the factors that predict cancer survivors’ interest in new technology-based health behavior intervention modalities versus traditional modalities. Methods Surveys were mailed to 1871 survivors of breast, prostate, and colorectal cancer. Participants’ demographics, diet and physical activity behaviors, interest in health behavior interventions, and interest in intervention delivery modalities were collected. Using path analysis, we explored the relationship between four intervention modality variables (ie, clinic, telephone, computer, and smartphone) and potential predictors of modality interest. Results In total, 1053 respondents to the survey (56.3% response rate); 847 provided complete data for this analysis. Delivery channel interest was highest for computer-based interventions (236/847, 27.9% very/extremely interested) and lowest for smartphone–based interventions (73/847, 8.6%), with interest in clinic-based (147/847, 17.3%) and telephone-delivered (143/847, 16.9%) falling in between. Use of other technology platforms, such as Web cameras and social networking sites, was positively predictive of interest in technology-based delivery channels. Older survivors were less likely to report interest in smartphone–based diet interventions. Physical activity, fruit and vegetable consumption, weight status, and age moderated relationships between interest in targeted intervention behavior and modality. Conclusions This study identified several predictors of survivor interest in various health behavior intervention delivery modalities. Overall, computer-based interventions were found to be most acceptable, while smartphones were the least. Factors related to survivors’ current technology use and health status play a role in their interest for technology-based intervention versus more traditional delivery channels. Future health behavior change research in this population should consider participants’ demographic, clinical, and lifestyle characteristics when selecting a delivery channel. Furthermore, current health behavior interventions for older cancer survivors may be best delivered over the Internet. Smartphone interventions may be feasible in the future following further adoption and familiarization by this particular population. PMID:28410164

The Influence of Social Networking Technologies on Female Religious Veil-Wearing Behavior in Iran

PubMed Central

Shakiba, Abbas; Kwok, Justin; Montazeri, Mohammad Sadegh

2014-01-01

Abstract Social networking technologies can influence attitudes, behaviors, and social norms. Research on this topic has been conducted primarily among early adopters of technology and within the United States. However, it is important to evaluate how social media might affect people's behaviors in international settings, especially among countries with longstanding, government recommended, cultural and religious traditions and behaviors, such as Iran. This study seeks to assess whether Iranian women who have been using social networking technologies for a longer time (compared to those who have recently joined) would be less likely to cover themselves with a veil and be more comfortable publicly displaying pictures of this behavior on Facebook. Iranian females (N=253) were selected through snowball sampling from nongovernmental organizations in November 2011 and asked to complete a survey assessing their use of Facebook, concerns about not wearing a veil in Facebook pictures, and their actual likelihood of wearing a veil. Items were combined to measure lack of interest in wearing a veil. Length of time as a Facebook user was significantly associated with not wearing a veil (b=0.16, p<0.01), controlling for age, education, and frequency of using Facebook. Results also revealed a significant relationship such that older people were more likely to adhere to the religious behavior of wearing a veil (b=−0.45, p<0.01). Social networking technologies can affect attitudes and behaviors internationally. We discuss methods of using social media for self-presentation and expression, as well as the difficulties (and importance) of studying use of technologies, such as social media, internationally. PMID:24611768

The influence of social networking technologies on female religious veil-wearing behavior in Iran.

PubMed

Young, Sean D; Shakiba, Abbas; Kwok, Justin; Montazeri, Mohammad Sadegh

2014-05-01

Abstract Social networking technologies can influence attitudes, behaviors, and social norms. Research on this topic has been conducted primarily among early adopters of technology and within the United States. However, it is important to evaluate how social media might affect people's behaviors in international settings, especially among countries with longstanding, government recommended, cultural and religious traditions and behaviors, such as Iran. This study seeks to assess whether Iranian women who have been using social networking technologies for a longer time (compared to those who have recently joined) would be less likely to cover themselves with a veil and be more comfortable publicly displaying pictures of this behavior on Facebook. Iranian females (N=253) were selected through snowball sampling from nongovernmental organizations in November 2011 and asked to complete a survey assessing their use of Facebook, concerns about not wearing a veil in Facebook pictures, and their actual likelihood of wearing a veil. Items were combined to measure lack of interest in wearing a veil. Length of time as a Facebook user was significantly associated with not wearing a veil (b=0.16, p<0.01), controlling for age, education, and frequency of using Facebook. Results also revealed a significant relationship such that older people were more likely to adhere to the religious behavior of wearing a veil (b=-0.45, p<0.01). Social networking technologies can affect attitudes and behaviors internationally. We discuss methods of using social media for self-presentation and expression, as well as the difficulties (and importance) of studying use of technologies, such as social media, internationally.

A Review of the Literature on Remote Monitoring Technology in Incentive-Based Interventions for Health-Related Behavior Change.

PubMed

Kurti, Allison N; Davis, Danielle R; Redner, Ryan; Jarvis, Brantley P; Zvorsky, Ivori; Keith, Diana R; Bolivar, Hypatia A; White, Thomas J; Rippberger, Peter; Markesich, Catherine; Atwood, Gary; Higgins, Stephen T

2016-06-01

Use of technology (e.g., Internet, cell phones) to allow remote implementation of incentives interventions for health-related behavior change is growing. To our knowledge, there has yet to be a systematic review of this literature reported. The present report provides a systematic review of the controlled studies where technology was used to remotely implement financial incentive interventions targeting substance use and other health behaviors published between 2004 and 2015. For inclusion in the review, studies had to use technology to remotely accomplish one of the following two aims alone or in combination: (a) monitor the target behavior, or (b) deliver incentives for achieving the target goal. Studies also had to examine financial incentives (e.g., cash, vouchers) for health-related behavior change, be published in peer-reviewed journals, and include a research design that allowed evaluation of the efficacy of the incentive intervention relative to another condition (e.g., non-contingent incentives, treatment as usual). Of the 39 reports that met inclusion criteria, 18 targeted substance use, 10 targeted medication adherence or home-based health monitoring, and 11 targeted diet, exercise, or weight loss. All 39 (100%) studies used technology to facilitate remote monitoring of the target behavior, and 26 (66.7%) studies also incorporated technology in the remote delivery of incentives. Statistically significant intervention effects were reported in 71% of studies reviewed. Overall, the results offer substantial support for the efficacy of remotely implemented incentive interventions for health-related behavior change, which have the potential to increase the cost-effectiveness and reach of this treatment approach.

Fuzzy Analytic Hierarchy Process-based Chinese Resident Best Fitness Behavior Method Research.

PubMed

Wang, Dapeng; Zhang, Lan

2015-01-01

With explosive development in Chinese economy and science and technology, people's pursuit of health becomes more and more intense, therefore Chinese resident sports fitness activities have been rapidly developed. However, different fitness events popularity degrees and effects on body energy consumption are different, so bases on this, the paper researches on fitness behaviors and gets Chinese residents sports fitness behaviors exercise guide, which provides guidance for propelling to national fitness plan's implementation and improving Chinese resident fitness scientization. The paper starts from the perspective of energy consumption, it mainly adopts experience method, determines Chinese resident favorite sports fitness event energy consumption through observing all kinds of fitness behaviors energy consumption, and applies fuzzy analytic hierarchy process to make evaluation on bicycle riding, shadowboxing practicing, swimming, rope skipping, jogging, running, aerobics these seven fitness events. By calculating fuzzy rate model's membership and comparing their sizes, it gets fitness behaviors that are more helpful for resident health, more effective and popular. Finally, it gets conclusions that swimming is a best exercise mode and its membership is the highest. Besides, the memberships of running, rope skipping and shadowboxing practicing are also relative higher. It should go in for bodybuilding by synthesizing above several kinds of fitness events according to different physical conditions; different living conditions so that can better achieve the purpose of fitness exercises.

Optimizing the technological and informational relationship of the health care process and of the communication between physician and patient--factors that have an impact on the process of diagnosis from the physician's and the patient's perspectives.

PubMed

Purcarea, V L; Petrescu, D G; Gheorghe, I R; Petrescu, C M

2011-05-15

The optimization of a diagnosis process and fluency in the Health Care sector in Romania. A key to discover this complex process was to determine a correlation between the physicians and the use of information technology, on one side and the patients' perspective on the other. Integrating information technology in a physician's activity will lead to lower costs and less time spent while diagnosing patients. Using the electronic medical records and introducing a unified database with the patients' medical histories will make the process of diagnosis easier. We studied the diagnosis from the point of view of 304 patients in a public hospital and 320 physicians working there. We believed that time and accessibility to different physicians makes the diagnosis process a burden for a patient and implicitly lead to dissatisfaction with health care services. We supposed that the burden of diagnosis for physicians comes from the lack of Internet connection and computer usage knowledge. We have found out that most physicians know how to use the computer at an intermediate level and have access to Internet, online journals and databases and do not use emails to a higher extent to communicate to other specialists, but do not rely entirely on the electronic medical records. Most physicians think that it is not technology, which stands in the way of proper and fast diagnosis but the financing and the paper work from the Romanian health system. Solutions that might be taken into account to entirely motivate physicians to use electronic medical records are: 1. Adjustments can be made to the computer software interface in order to make the design more consistent (to eliminate the paper forms) and user friendly. 2. Physicians can be provided with more training and knowledge. After some statistical tests have been applied to find a correlation between the chosen variables, we have reached the conclusion that the results are encouraging and there is no correlation between the degree of the impact of Preventive Medicine and the healthy behavior of the respondents.

Who does the numbers? The role of third-party technology assessment to inform health systems' decision-making about the funding of health technologies.

PubMed

Barbieri, Marco; Hawkins, Neil; Sculpher, Mark

2009-01-01

There is an increasing number of health-care systems using economic evaluations to inform decisions about the reimbursement of health technologies. There are usually two separate elements of this process: assembling relevant evidence and undertaking analyses (technology assessment), and decision-making. In most systems, technology assessment is undertaken by the manufacturer of the technology. In a few, "third-party" assessment is used. In the United Kingdom, the National Institute for Health and Clinical Excellence used a combination of third-party and manufacturer assessments between 1999 and 2005. After this point, a Single Technology Appraisal program (using manufacturer-based assessment) was instituted for some technologies. Here the role of third-party assessment is considered in this from of decision-making. The article reviews the requirements of economic evaluation to support decision-making, and considers the extent to which each type of assessment is likely to meet these requirements. It also attempts to address whether the two forms of assessment differ in their impact on decision-making using a comparison of the decisions made by National Institute for Health and Clinical Excellence (NICE) (under its multiple-technology appraisal system) and the Scottish Medicines Consortium (SMC), which relies on manufacturer assessment. The comparison is limited by the small number of technologies considered by both bodies. Nevertheless, it suggests that there are potentially important differences between the two bodies, with NICE generally placing more restrictions of the use of technologies. The article concludes that there are potential advantages to third-party assessment, but its cost and timing may preclude its use for all new technologies. A hybrid arrangement is suggested where third-party assessment is used in particular circumstances.

Contingency management in the 21st century: technological innovations to promote smoking cessation.

PubMed

Dallery, Jesse; Raiff, Bethany R

2011-01-01

Information technology represents an excellent medium to deliver contingencies of reinforcement to change behavior. Recently, we have linked the Internet with a science-based, behavioral treatment for cigarette smoking: abstinence reinforcement therapy. Under abstinence reinforcement interventions, incentives are provided for objective evidence of abstinence. Several studies suggest that the intervention is effective in initiating abstinence. The intervention addresses limitations (access, cost, sustainability, and dissemination potential) inherent in traditional abstinence reinforcement delivery models. It can also be applied to vulnerable, at-risk populations, and to other behavior to promote health. Information technologies offer unprecedented and rapidly expanding opportunities to facilitate behavior change.

News Media Industry

DTIC Science & Technology

2007-01-01

convergence of media types, rapidly evolving technology, changing consumer behavior , and traditionalists ensconced in the ways of the past all...changing consumer behavior have all contributed to uncertain times for these media icons. Newspaper readership and subscriptions levels continue to...consistently center on changing technologies, corporate pressures, changing consumer behavior and revenue generation (advertising). Because it’s

Evaluating Technology-Based Self-Monitoring as a Tier 2 Intervention across Middle School Settings

ERIC Educational Resources Information Center

Bruhn, Allison Leigh; Woods-Groves, Suzanne; Fernando, Josephine; Choi, Taehoon; Troughton, Leonard

2017-01-01

Multitiered frameworks like Positive Behavior Interventions and Supports (PBIS) have been recommended for preventing and remediating behavior problems. In this study, technology-based self-monitoring was used as a Tier 2 intervention to improve the academic engagement and disruptive behavior of three middle school students who were identified as…

Current Trends in Exercise Intervention Research, Technology, and Behavioral Change Strategies for People With Disabilities: A Scoping Review.

PubMed

Lai, Byron; Young, Hui-Ju; Bickel, C Scott; Motl, Robert W; Rimmer, James H

2017-10-01

This review synthesized physical activity and exercise intervention literature for the past 10 yrs for people with physical and cognitive disabilities including intervention characteristics, behavior change strategies, and types of technologies used to improve targeted outcomes. Systematic searches yielded 132 eligible studies. The major disability groups were multiple sclerosis (41%), stroke (15%), and spinal cord injury (12%). Research designs primarily involved randomized controlled trials (61%) versus quasi-experimental designs (39%). Approximately 20% of the interventions used some form of the following technology: information and communication technology (48%), interactive technology (37%), or electronic gauges (30%). Eighteen percent of studies used intervention strategies based on behavioral theory, which was typically combined with technology to promote activity and increase adherence in generally larger study samples. The three prevailing theories included social cognitive theory (58%), supportive accountability theory (21%), and transtheoretical model (21%). Upon completing the intervention, studies reported primarily significant outcomes (80%). Exercise research for PWD has grown in both quantity and quality, but several gaps remain. Study findings provide a roadmap for future exercise trials on understudied populations and highlight technology and behavior change theory as drivers of future intervention research.

Behavioral self-management strategies for practice and exercise should be included in neurologic rehabilitation trials and care

PubMed Central

Dobkin, Bruce H.

2018-01-01

Purpose Rehabilitation trials and post-acute care to lessen impairments and disability after stroke, spinal cord injury, and traumatic brain injury almost never include training to promote long-term self-management of skills practice, strengthening and fitness. Without behavioral training to develop self-efficacy, clinical trials and home-based therapy may fail to show robust results. Findings Behavioral theories about self-management and self-efficacy for physical activity have been successfully incorporated into interventions for chronic diseases, but rarely for neurologic rehabilitation. The elements of behavioral training include education about the effects of practice and exercise that are relevant to the person, goal setting, identification of possible barriers, problem solving, feedback about performance, tailored instruction, decision making, and ongoing personal or social support. Mobile health and tele-rehabilitation technologies offer new ways to remotely enable such training by monitoring activity from wearable wireless sensors and instrumented exercise devices to allow real-world feedback, goal setting, and instruction. Summary Motivation, sense of responsibility and confidence to practice and exercise in the home can be trained to increase adherence to skills practice and exercise both during and after formal rehabilitation. To optimize motor learning and improve long-term outcomes, self-management training should be an explicit component of rehabilitation care and clinical trials. PMID:27608301

THE TECHNOLOGY OF TEACHING. THE CENTURY PSYCHOLOGY SERIES.

ERIC Educational Resources Information Center

SKINNER, B.F.

TEACHING AS A TECHNOLOGY IS THE ARRANGEMENT OF CONTINGENCIES OF REINFORCEMENT UNDER WHICH BEHAVIOR CHANGES. RECENT ADVANCES IN TECHNIQUES OF BEHAVIOR CONTROL HAVE MADE SUCH A TECHNOLOGY IMMANENT, BUT THERE IS A SHOCKING LACK OF APPLICATION OF THESE TECHNIQUES. INSTEAD, TEACHING CONTINUES TO RELY HEAVILY ON AVERSIVE CONTROL FOR MOTIVATION AND TO…

Overcoming Research Design Problems via Methodological Integration: Use of Computer Assisted Technologies in Studying Teacher Behaviors.

ERIC Educational Resources Information Center

Ivy, Diana K.; And Others

Continuous Attitudinal Response Technology (CART) is an alternative approach to testing students' instantaneous response to teacher behaviors in the classroom. The system uses a microcomputer and video technology device that allows researchers to measure subjects' instantaneous responses to static and continuous stimuli, graphic or verbal. A…

Integration of Technology-based Behavioral Health Interventions in Substance Abuse and Addiction Services

PubMed Central

Ramsey, Alex

2015-01-01

The past decade has witnessed revolutionary changes to the delivery of health services, ushered in to a great extent by the introduction of electronic health record systems. More recently, a new class of technological advancements—technology-based behavioral health interventions, which involve the delivery of evidence-informed practices via computers, web-based applications, mobile phones, wearable sensors, or other technological platforms—has emerged and is primed to once again radically shift current models for behavioral healthcare. Despite the promise and potential of these new therapeutic approaches, a greater understanding of the impact of technology-based interventions on cornerstone issues of mental health and addiction services—namely access, quality, and cost—is needed. The current review highlights 1) relevant conceptual frameworks that guide this area of research, 2) key studies that inform the relevance of technology-based interventions for behavioral healthcare access, quality, and cost, 3) pressing methodological issues that require attention, 4) unresolved questions that warrant further investigation, and 5) practical implications that underscore important new directions for this emerging area of research. PMID:26161047

Integration of Technology-based Behavioral Health Interventions in Substance Abuse and Addiction Services.

PubMed

Ramsey, Alex

2015-08-01

The past decade has witnessed revolutionary changes to the delivery of health services, ushered in to a great extent by the introduction of electronic health record systems. More recently, a new class of technological advancements-technology-based behavioral health interventions, which involve the delivery of evidence-informed practices via computers, web-based applications, mobile phones, wearable sensors, or other technological platforms-has emerged and is primed to once again radically shift current models for behavioral healthcare. Despite the promise and potential of these new therapeutic approaches, a greater understanding of the impact of technology-based interventions on cornerstone issues of mental health and addiction services-namely access, quality, and cost -is needed. The current review highlights 1) relevant conceptual frameworks that guide this area of research, 2) key studies that inform the relevance of technology-based interventions for behavioral healthcare access, quality, and cost, 3) pressing methodological issues that require attention, 4) unresolved questions that warrant further investigation, and 5) practical implications that underscore important new directions for this emerging area of research.

Technological advances for studying human behavior

NASA Technical Reports Server (NTRS)

Roske-Hofstrand, Renate J.

1990-01-01

Technological advances for studying human behavior are noted in viewgraph form. It is asserted that performance-aiding systems are proliferating without a fundamental understanding of how they would interact with the humans who must control them. Two views of automation research, the hardware view and the human-centered view, are listed. Other viewgraphs give information on vital elements for human-centered research, a continuum of the research process, available technologies, new technologies for persistent problems, a sample research infrastructure, the need for metrics, and examples of data-link technology.

The attitude-behavior discrepancy in medical decision making.

PubMed

He, Fei; Li, Dongdong; Cao, Rong; Zeng, Juli; Guan, Hao

2014-12-01

In medical practice, the dissatisfaction of patients about medical decisions made by doctors is often regarded as the fuse of doctor-patient conflict. However, a few studies have looked at why there are such dissatisfactions. This experimental study aimed to explore the discrepancy between attitude and behavior within medical situations and its interaction with framing description. A total of 450 clinical undergraduates were randomly assigned to six groups and investigated using the classic medical decision making problem, which was described either in a positive or a negative frame (2) × decision making behavior\\attitude to risky plan\\attitude to conservative plan (3). A discrepancy between attitude and behavior did exist in medical situations. Regarding medical dilemmas, if the mortality rate was described, subjects had a significant tendency to choose a conservative plan (t = 3.55, P < 0.01) yet if the survival rate was described, there was no such preference (t = -1.48, P > 0.05). However, regardless of the plan chosen by the doctor, the subjects had a significant opposing attitude (P < .05). Framing description had a significant impact on both decision making behavior and attitude (t behavior = -3.24, P < 0.01；t attitude to surgery = 4.08，P < 0.01；t attitude to radiation = -2.15，P < 0.05). A discrepancy of attitude-behavior does exist in medical situations. The framing of a description has an impact on medical decision-making.

Towards representing human behavior and decision making in Earth system models - an overview of techniques and approaches

NASA Astrophysics Data System (ADS)

Müller-Hansen, Finn; Schlüter, Maja; Mäs, Michael; Donges, Jonathan F.; Kolb, Jakob J.; Thonicke, Kirsten; Heitzig, Jobst

2017-11-01

Today, humans have a critical impact on the Earth system and vice versa, which can generate complex feedback processes between social and ecological dynamics. Integrating human behavior into formal Earth system models (ESMs), however, requires crucial modeling assumptions about actors and their goals, behavioral options, and decision rules, as well as modeling decisions regarding human social interactions and the aggregation of individuals' behavior. Here, we review existing modeling approaches and techniques from various disciplines and schools of thought dealing with human behavior at different levels of decision making. We demonstrate modelers' often vast degrees of freedom but also seek to make modelers aware of the often crucial consequences of seemingly innocent modeling assumptions. After discussing which socioeconomic units are potentially important for ESMs, we compare models of individual decision making that correspond to alternative behavioral theories and that make diverse modeling assumptions about individuals' preferences, beliefs, decision rules, and foresight. We review approaches to model social interaction, covering game theoretic frameworks, models of social influence, and network models. Finally, we discuss approaches to studying how the behavior of individuals, groups, and organizations can aggregate to complex collective phenomena, discussing agent-based, statistical, and representative-agent modeling and economic macro-dynamics. We illustrate the main ingredients of modeling techniques with examples from land-use dynamics as one of the main drivers of environmental change bridging local to global scales.

Values and the Scientific Culture of Behavior Analysis

PubMed Central

Ruiz, Maria R; Roche, Bryan

2007-01-01

As scientists and practitioners, behavior analysts must make frequent decisions that affect many lives. Scientific principles have been our guide as we work to promote effective action across a broad spectrum of cultural practices. Yet scientific principles alone may not be sufficient to guide our decision making in cases with potentially conflicting outcomes. In such cases, values function as guides to work through ethical conflicts. We will examine two ethical systems, radical behaviorism and functional contextualism, from which to consider the role of values in behavior analysis, and discuss potential concerns. Finally, we propose philosophical pragmatism, focusing on John Dewey's notions of community and dialogue, as a tradition that can help behavior analysts to integrate talk about values and scientific practices in ethical decision making. PMID:22478484

Friendship Quality, Peer Group Affiliation, and Peer Antisocial Behavior as Moderators of the Link Between Negative Parenting and Adolescent Externalizing Behavior

PubMed Central

Lansford, Jennifer E.; Criss, Michael M.; Pettit, Gregory S.; Dodge, Kenneth A.; Bates, John E.

2009-01-01

Quality of peer relationships and perceived peer antisocial behavior were examined as moderators of the link between negative parenting and externalizing behavior problems in school from middle childhood to early adolescence. Data on negative parenting (i.e., unilateral parental decision making, low supervision and awareness, and harsh discipline) were collected from 362 parents in the summer preceding the adolescents’ entry into Grade 6. Adolescent reports of positive peer relationships and peer antisocial behavior were assessed in the winter of Grade 7. The outcome measure was teacher report of adolescent externalizing behavior in the spring of Grade 7, controlling for externalizing behavior in Grade 5. High levels of friendship quality and peer group affiliation attenuated the association between unilateral parental decision making and adolescent externalizing behavior in school; this was particularly true when adolescents associated with peers perceived to be low in antisocial behavior. In addition, having low-quality peer relationships and having peers perceived to be highly antisocial further amplified the association between unilateral parental decision making and adolescent externalizing behavior problems. Finally, high levels of friend and peer group antisocial behavior exacerbated the predictiveness of harsh discipline for adolescents’ externalizing behavior. PMID:20209019

Use of ultrasonography to make management decisions

USDA-ARS?s Scientific Manuscript database

Transrectal ultrasonography has been available for making management decisions since the mid 1980’s. This technology allows for the real-time visualization of internal structures (i.e. ovary and fetus) that are otherwise difficult to evaluate. The use of this technology in making reproductive manag...

Impaired social decision making in patients with major depressive disorder.

PubMed

Wang, Yun; Zhou, Yuan; Li, Shu; Wang, Peng; Wu, Guo-Wei; Liu, Zhe-Ning

2014-01-23

Abnormal decision-making processes have been observed in patients with major depressive disorder (MDD). However, it is unresolved whether MDD patients show abnormalities in decision making in a social interaction context, in which decisions have actual influences on both the self-interests of the decision makers per se and those of their partners. Using a well-studied ultimatum game (UG), which is frequently used to investigate social interaction behavior, we examined whether MDD can be associated with abnormalities in social decision-making behavior by comparing the acceptance rates of MDD patients (N = 14) with those of normal controls (N = 19). The acceptance rates of the patients were lower than those of the normal controls. Additionally, unfair proposals were accepted at similar rates from computer partners and human partners in the MDD patients, unlike the acceptance rates in the normal controls, who were able to discriminatively treat unfair proposals from computer partners and human partners. Depressed patients show abnormal decision-making behavior in a social interaction context. Several possible explanations, such as increased sensitivity to fairness, negative emotional state and disturbed affective cognition, have been proposed to account for the abnormal social decision-making behavior in patients with MDD. This aberrant social decision-making behavior may provide a new perspective in the search to find biomarkers for the diagnosis and prognosis of MDD.

Access to augmentative and alternative communication: new technologies and clinical decision-making.

PubMed

Fager, Susan; Bardach, Lisa; Russell, Susanne; Higginbotham, Jeff

2012-01-01

Children with severe physical impairments require a variety of access options to augmentative and alternative communication (AAC) and computer technology. Access technologies have continued to develop, allowing children with severe motor control impairments greater independence and access to communication. This article will highlight new advances in access technology, including eye and head tracking, scanning, and access to mainstream technology, as well as discuss future advances. Considerations for clinical decision-making and implementation of these technologies will be presented along with case illustrations.

Deviant Peer Behavior and Adolescent Delinquency: Protective Effects of Inhibitory Control, Planning, or Decision Making?

PubMed

Hinnant, J Benjamin; Forman-Alberti, Alissa B

2018-05-09

We examined relations between adolescent perceptions of deviant peer behavior and delinquency as moderated by inhibitory control, planning, and decision making in the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development at age 15 (N = 991). Adolescents reported perceptions of deviant peer behavior. Inhibitory control, planning, and decision making were assessed behaviorally. Delinquency was evaluated with a latent variable comprised of parent-guardian perceptions of adolescent delinquency and adolescent self-reports. Only inhibitory control moderated the relationship between deviant peer behavior and delinquency, showing that better inhibition protected against delinquency in contexts of high levels of adolescent perceptions of deviant peer behavior. Findings are discussed in the context of theories of adolescent delinquency and risk taking. © 2018 Society for Research on Adolescence.

A Digital Ecosystem of Diabetes Data and Technology: Services, Systems, and Tools Enabled by Wearables, Sensors, and Apps.

PubMed

Heintzman, Nathaniel D

2015-12-20

The management of type 1 diabetes (T1D) ideally involves regimented measurement of various health signals; constant interpretation of diverse kinds of data; and consistent cohesion between patients, caregivers, and health care professionals (HCPs). In the context of myriad factors that influence blood glucose dynamics for each individual patient (eg, medication, activity, diet, stress, sleep quality, hormones, environment), such coordination of self-management and clinical care is a great challenge, amplified by the routine unavailability of many types of data thought to be useful in diabetes decision-making. While much remains to be understood about the physiology of diabetes and blood glucose dynamics at the level of the individual, recent and emerging medical and consumer technologies are helping the diabetes community to take great strides toward truly personalized, real-time, data-driven management of this chronic disease. This review describes "connected" technologies--such as smartphone apps, and wearable devices and sensors--which comprise part of a new digital ecosystem of data-driven tools that can link patients and their care teams for precision management of diabetes. These connected technologies are rich sources of physiologic, behavioral, and contextual data that can be integrated and analyzed in "the cloud" for research into personal models of glycemic dynamics, and employed in a multitude of applications for mobile health (mHealth) and telemedicine in diabetes care. © 2015 Diabetes Technology Society.

Research and Development Opportunities for Technologies to Influence Water Consumption Behavior

DOE Office of Scientific and Technical Information (OSTI.GOV)

Levin, Todd; Horner, Robert M.; Muehleisen, Ralph T.

In April 2015, Argonne National Laboratory hosted a two-day workshop that convened water experts and stakeholders from across industry, government, and academia to undertake three primary tasks: 1) identify technology characteristics that are favorable for motivating behavioral change, 2) identify barriers that have prevented the development and market adoption of technologies with these characteristics in the water sector, and 3) identify concrete research and development pathways that could be undertaken to overcome these barriers, increase the penetration of technologies that influence water consumption behavior, and ultimately reduce domestic water consumption. While efforts to reduce water consumption have gained momentum inmore » recent years, there are a number of key barriers that have limited the effectiveness of such efforts. Chief among these is the fact that many consumers have limited awareness of their water consumption patterns because of poor data availability, and/or are unmotivated to reduce their consumption because of low costs and split incentives. Without improved data availability and stronger price signals, it will be difficult to effect true transformative behavioral change. This report also reviews a number of technology characteristics that have successfully motivated behavioral change in other sectors, as well as several technologies that could be developed specifically for the water sector. Workshop participants discussed how technologies that provide active feedback and promote measurable goals and social accountability have successfully influenced changes in other types of behavior. A range of regulatory and policy actions that could be implemented to support such efforts are also presented. These include institutional aggregation, revenue decoupling, and price structure reforms. Finally, several R&D pathways were proposed, including efforts to identify optimal communication strategies and to better understand consumer perceptions and psychology as they relate to human behavior regarding water consumption. The findings presented here can help to inform policy makers as they develop new policies and seek to support new research to help consumers use water more efficiently. It is our hope that these findings will also be utilized to prioritize topics for additional follow-up workshops to address individual issues and barriers more directly and in more detail. The goal of such future workshops will be to develop specific solutions, research plans, and technology development pathways that can be undertaken to increase the market penetration of technologies that effect behavioral change and reduce water consumption.« less

Technological Diversification of Japanese Industry.

ERIC Educational Resources Information Center

Kodama, Fumio

1986-01-01

Describes an approach for measuring industrial technological diversification behavior. Identifies sectoral patterns of Japanese industry as related to diversification behaviors. Delineates the mechanisms and effectiveness of Japanese corporate and government policies relevant to diversification. (ML)

Quantifying the Modern City: Emerging Technologies and Big Data for Active Living Research.

PubMed

Adlakha, Deepti

2017-01-01

Opportunities and infrastructure for active living are an important aspect of a community's design, livability, and health. Features of the built environment influence active living and population levels of physical activity, but objective study of the built environment influence on active living behaviors is challenging. The use of emerging technologies for active living research affords new and promising means to obtain objective data on physical activity behaviors and improve the precision and accuracy of measurements. This is significant for physical activity promotion because precise measurements can enable detailed examinations of where, when, and how physical activity behaviors actually occur, thus enabling more effective targeting of particular behavior settings and environments. The aim of this focused review is to provide an overview of trends in emerging technologies that can profoundly change our ability to understand environmental determinants of active living. It discusses novel technological approaches and big data applications to measure and track human behaviors that may have broad applications across the fields of urban planning, public health, and spatial epidemiology.

Faculty Integration of Technology into Instruction and Students' Perceptions of Computer Technology to Improve Student Learning

ERIC Educational Resources Information Center

Keengwe, Jared

2007-01-01

There has been a remarkable improvement in access and rate of adoption of technology in higher education. Even so, reports indicate that faculty members are not integrating technology into instruction in ways that make a difference in student learning (Cuban, 2001; McCannon & Crews, 2000). To help faculty make informed decisions on student…

The Relationship between University Students' Environmental Identity, Decision-Making Process, and Behavior

ERIC Educational Resources Information Center

Freed, Allison

2018-01-01

Environmental education scholars have argued for the need to focus on identity as a more predictive factor than attitude of individuals' environmental behavior. We examine individuals' decision-making as a mediating process between identity and behavior. University undergraduates (N = 299) were surveyed, with a select sub-sample interviewed. As…

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tugurlan, Maria C.; Kirkham, Harold; Chassin, David P.

Abstract Budget and schedule overruns in product development due to the use of immature technologies constitute an important matter for program managers. Moreover, unexpected lack of technology maturity is also a problem for buyers. Both sides of the situation would benefit from an unbiased measure of technology maturity. This paper presents the use of a software maturity metric called Technology Readiness Level (TRL), in the milieu of the smart grid. For most of the time they have been in existence, power utilities have been protected monopolies, guaranteed a return on investment on anything they could justify adding to the ratemore » base. Such a situation did not encourage innovation, and instead led to widespread risk-avoidance behavior in many utilities. The situation changed at the end of the last century, with a series of regulatory measures, beginning with the Public Utility Regulatory Policy Act of 1978. However, some bad experiences have actually served to strengthen the resistance to innovation by some utilities. Some aspects of the smart grid, such as the addition of computer-based control to the power system, face an uphill battle. It is our position that the addition of TRLs to the decision-making process for smart grid power-system projects, will lead to an environment of more confident adoption.« less

Psychosocial Interventions for Patients and Caregivers in the Age of New Communication Technologies: Opportunities and Challenges in Cancer Care

PubMed Central

BADR, HODA; CARMACK, CINDY L.; DIEFENBACH, MICHAEL A.

2014-01-01

Interactive health communication technologies (IHCTs) present a new opportunity and challenge for cancer control researchers who focus on couple and family-based psychosocial interventions. In this article we first present findings from a systematic review of eight studies that utilized IHCTs in psychosocial interventions with cancer patients and their caregivers. Although this research area is still in its infancy, studies suggest that it is feasible to incorporate IHCTs in such interventions, that IHCTs are generally well-accepted by patients and caregivers, and that the choice of technology is largely dependent on intervention target (i.e., patient, caregiver, or both) and outcomes (e.g., decision-making, symptom management, lifestyle behaviors). A major research gap has been the lack of integration of Web 2.0 technologies (e.g., social media), despite the fact that social support and communication are frequently targeted components of interventions that involve cancer patients and their caregivers. Given this, we next present findings from a qualitative study that we conducted to describe the different needs and preferences of 13 cancer survivors and 12 caregivers with regard to social media use. Finally, we discuss some of the opportunities and challenges of using IHCTs in psychosocial interventions for cancer patients and their caregivers and propose directions for future research. PMID:25629218

Using Genetically Engineered Animal Models in the Postgenomic Era to Understand Gene Function in Alcoholism

PubMed Central

Reilly, Matthew T.; Harris, R. Adron; Noronha, Antonio

2012-01-01

Over the last 50 years, researchers have made substantial progress in identifying genetic variations that underlie the complex phenotype of alcoholism. Not much is known, however, about how this genetic variation translates into altered biological function. Genetic animal models recapitulating specific characteristics of the human condition have helped elucidate gene function and the genetic basis of disease. In particular, major advances have come from the ability to manipulate genes through a variety of genetic technologies that provide an unprecedented capacity to determine gene function in the living organism and in alcohol-related behaviors. Even newer genetic-engineering technologies have given researchers the ability to control when and where a specific gene or mutation is activated or deleted, allowing investigators to narrow the role of the gene’s function to circumscribed neural pathways and across development. These technologies are important for all areas of neuroscience, and several public and private initiatives are making a new generation of genetic-engineering tools available to the scientific community at large. Finally, high-throughput “next-generation sequencing” technologies are set to rapidly increase knowledge of the genome, epigenome, and transcriptome, which, combined with genetically engineered mouse mutants, will enhance insight into biological function. All of these resources will provide deeper insight into the genetic basis of alcoholism. PMID:23134044

Using genetically engineered animal models in the postgenomic era to understand gene function in alcoholism.

PubMed

Reilly, Matthew T; Harris, R Adron; Noronha, Antonio

2012-01-01

Over the last 50 years, researchers have made substantial progress in identifying genetic variations that underlie the complex phenotype of alcoholism. Not much is known, however, about how this genetic variation translates into altered biological function. Genetic animal models recapitulating specific characteristics of the human condition have helped elucidate gene function and the genetic basis of disease. In particular, major advances have come from the ability to manipulate genes through a variety of genetic technologies that provide an unprecedented capacity to determine gene function in the living organism and in alcohol-related behaviors. Even newer genetic-engineering technologies have given researchers the ability to control when and where a specific gene or mutation is activated or deleted, allowing investigators to narrow the role of the gene's function to circumscribed neural pathways and across development. These technologies are important for all areas of neuroscience, and several public and private initiatives are making a new generation of genetic-engineering tools available to the scientific community at large. Finally, high-throughput "next-generation sequencing" technologies are set to rapidly increase knowledge of the genome, epigenome, and transcriptome, which, combined with genetically engineered mouse mutants, will enhance insight into biological function. All of these resources will provide deeper insight into the genetic basis of alcoholism.

Playing, sitting out, and observing the game: an investigation of faculty members' perspectives on political behavior in ethical decision making.

PubMed

Medeiros, Kelsey E; Gibson, Carter; Mecca, Jensen T; Giorgini, Vincent; Connelly, Shane; Mumford, Michael D

2015-01-01

Ethical dilemmas are inherently ambiguous, complex, and ill-defined. Additionally, these dilemmas involve multiple stakeholders. These characteristics may induce political behavior as a resolution tactic. Thus, the goal of the present effort was to investigate perspectives on politics among researchers in an ethical decision-making context. A qualitative analysis of interviews with university faculty members revealed that faculty members' perspectives on political behavior in an ethical decision-making context fall into a number of categories, including positive, negative, and realistic views of political activity. The implications of these varying perspectives on ethical decision making are discussed.

Pentexonomy: A Multi-Dimensional Taxonomy of Educational Online Technologies

ERIC Educational Resources Information Center

Tuapawa, Kimberley; Sher, William; Gu, Ning

2014-01-01

Educational online technologies (EOTs) have revolutionised the delivery of online education, making a large contribution towards the global increase in demand for higher learning. Educationalists have striven to adapt through knowledge development and application of online tools, but making educationally sound choices about technology has proved…

Technology Integration and Innovation during Reflective Teaching

ERIC Educational Resources Information Center

Baporikar, Neeta

2016-01-01

With emerging innovations, the use of technology tools to make learning process effective is foreseeable. Hence, appropriate incorporation of technology can make a valuable contribution to the learning and undoubtedly reflection is core to learning. With today's twenty-first century learners, it is important that educators advocate integrating…

Use of ultrasonography to make reproductive management decisions

USDA-ARS?s Scientific Manuscript database

Transrectal ultrasonography has been available for making management decisions since the mid 1980’s. This technology allows for the real-time visualization of internal structures (i.e. ovary and fetus) that are otherwise difficult to evaluate. The use of this technology in making reproductive manag...

Protest Motherhood: Pregnancy Decision-Making Behavior and Attitudes Towards Abortion.

ERIC Educational Resources Information Center

Chesney-Lind, Meda

The document describes research on womens' attitudes toward abortion and their decision-making when pregnant leading to either birth or abortion. The objective was "to explore how womens' perceptions of the option of legal abortion have affected their pregnancy decision-making behavior" and to note the impact of their particular choices on their…

Review of innovations in digital health technology to promote weight control.

PubMed

Thomas, J Graham; Bond, Dale S

2014-01-01

Advances in technology have contributed to the obesity epidemic and worsened health by reducing opportunities for physical activity and by the proliferation of inexpensive calorie-dense foods. However, much of the same technology can be used to counter these troublesome trends by fostering the development and maintenance of healthy eating and physical activity habits. In contrast to intensive face-to-face treatments, technology-based interventions also have the potential to reach large numbers of individuals at low cost. The purpose of this review is to discuss studies in which digital technology has been used for behavioral weight control, report on advances in consumer technology that are widely adopted but insufficiently tested, and explore potential future directions for both. Web-based, mobile (eg, smartphone), virtual reality, and gaming technologies are the focus of discussion. The best evidence exists to support the use of digital technology for self-monitoring of weight-related behaviors and outcomes. However, studies are underway that will provide additional, important information regarding how best to apply digital technology for behavioral weight control.

Stereotype threat affects financial decision making.

PubMed

Carr, Priyanka B; Steele, Claude M

2010-10-01

The research presented in this article provides the first evidence that one's decision making can be influenced by concerns about stereotypes and the devaluation of one's identity. Many studies document gender differences in decision making, and often attribute these differences to innate and stable factors, such as biological and hormonal differences. In three studies, we found that stereotype threat affected decision making and led to gender differences in loss-aversion and risk-aversion behaviors. In Study 1, women subjected to stereotype threat in academic and business settings were more loss averse than both men and women who were not facing the threat of being viewed in light of negative stereotypes. We found no gender differences in loss-aversion behavior in the absence of stereotype threat. In Studies 2a and 2b, we found the same pattern of effects for risk-aversion behavior that we had observed for loss-aversion behavior. In addition, in Study 2b, ego depletion mediated the effects of stereotype threat on women's decision making. These results suggest that individuals' decision making can be influenced by stereotype concerns.

Breast Cancer Survivors' Beliefs and Preferences Regarding Technology-Supported Sedentary Behavior Reduction Interventions

PubMed Central

Lloyd, Gillian R.; Oza, Sonal; Kozey-Keadle, Sarah; Pellegrini, Christine A.; Conroy, David E.; Penedo, Frank J.; Spring, Bonnie J.; Phillips, Siobhan M.

2016-01-01

Purpose Less time spent in sedentary behaviors is associated with improved health and disease outcomes in breast cancer survivors. However, little is known about survivors' interest in sedentary behavior reduction interventions and how to effectively reduce this risk behavior. The purpose of this study was to explore breast cancer survivors' interest in and preferences for technology-supported sedentary behavior reduction interventions. Methods Breast cancer survivors (n = 279; Mage = 60.7 (SD = 9.7)) completed a battery of online questionnaires. Descriptive statistics were calculated for all data. To examine potential relationships between demographic, disease and behavioral factors, and survivors' interest in a technology-supported sedentary behavior reduction intervention, we conducted logistic regression analyses. These same factors were examined in relation to the perceptions of the effectiveness of such intervention using multiple regression analyses. Results On average, survivors spent 10.1 (SD = 4.3) hours/day in sedentary activity. They believed prolonged periods of sedentary behavior were harmful to their health (87.0%) and that reducing sedentary behavior could improve their health (88.4%). Survivors believed they should move around after 30–60 (56.7%) or ≥ 60 (29.9%) minutes of sedentary behavior and indicated they were most likely to replace sedentary behaviors with walking around (97.1%) or walking in place (73.4%). The majority of survivors (79.9%) was interested in participating in a technology-supported sedentary behavior reduction intervention and indicated they would use a smartphone application (61.3%) 2–3 times/day (48.0%), 6 to 7 days/week (52.0%). Most survivors (73.5%) believed reminders would help them decrease sedentary behavior and preferred they be delivered after sitting for 60 minutes (60.5%) via vibrations on a wrist worn activity tracker (77.3%) or text messages (54.4%). Conclusions Technology-supported sedentary behavior reduction interventions may be feasible and acceptable to breast cancer survivors. Data regarding user preferences for content, features, delivery mode and design will aid researchers in developing sedentary interventions that are potentially more relevant and effective from the outset. PMID:29057279

Breast cancer survivors' beliefs and preferences regarding technology-supported sedentary behavior reduction interventions.

PubMed

Lloyd, Gillian R; Oza, Sonal; Kozey-Keadle, Sarah; Pellegrini, Christine A; Conroy, David E; Penedo, Frank J; Spring, Bonnie J; Phillips, Siobhan M

2016-01-01

Less time spent in sedentary behaviors is associated with improved health and disease outcomes in breast cancer survivors. However, little is known about survivors' interest in sedentary behavior reduction interventions and how to effectively reduce this risk behavior. The purpose of this study was to explore breast cancer survivors' interest in and preferences for technology-supported sedentary behavior reduction interventions. Breast cancer survivors [n=279; M age =60.7 ( SD =9.7)] completed a battery of online questionnaires. Descriptive statistics were calculated for all data. To examine potential relationships between demographic, disease and behavioral factors, and survivors' interest in a technology-supported sedentary behavior reduction intervention, we conducted logistic regression analyses. These same factors were examined in relation to the perceptions of the effectiveness of such intervention using multiple regression analyses. On average, survivors spent 10.1 ( SD =4.3) hours/day in sedentary activity. They believed prolonged periods of sedentary behavior were harmful to their health (87.0%) and that reducing sedentary behavior could improve their health (88.4%). Survivors believed they should move around after 30-60 (56.7%) or ≥60 (29.9%) minutes of sedentary behavior and indicated they were most likely to replace sedentary behaviors with walking around (97.1%) or walking in place (73.4%). The majority of survivors (79.9%) was interested in participating in a technology-supported sedentary behavior reduction intervention and indicated they would use a smartphone application (61.3%) 2-3 times/day (48.0%), 6 to 7 days/week (52.0%). Most survivors (73.5%) believed reminders would help them decrease sedentary behavior and preferred they be delivered after sitting for 60 minutes (60.5%) via vibrations on a wrist worn activity tracker (77.3%) or text messages (54.4%). Technology-supported sedentary behavior reduction interventions may be feasible and acceptable to breast cancer survivors. Data regarding user preferences for content, features, delivery mode and design will aid researchers in developing sedentary interventions that are potentially more relevant and effective from the outset.

Sensor technology for smart homes.

PubMed

Ding, Dan; Cooper, Rory A; Pasquina, Paul F; Fici-Pasquina, Lavinia

2011-06-01

A smart home is a residence equipped with technology that observes the residents and provides proactive services. Most recently, it has been introduced as a potential solution to support independent living of people with disabilities and older adults, as well as to relieve the workload from family caregivers and health providers. One of the key supporting features of a smart home is its ability to monitor the activities of daily living and safety of residents, and in detecting changes in their daily routines. With the availability of inexpensive low-power sensors, radios, and embedded processors, current smart homes are typically equipped with a large amount of networked sensors which collaboratively process and make deductions from the acquired data on the state of the home as well as the activities and behaviors of its residents. This article reviews sensor technology used in smart homes with a focus on direct environment sensing and infrastructure mediated sensing. The article also points out the strengths and limitations of different sensor technologies, as well as discusses challenges and opportunities from clinical, technical, and ethical perspectives. It is recommended that sensor technologies for smart homes address actual needs of all stake holders including end users, their family members and caregivers, and their doctors and therapists. More evidence on the appropriateness, usefulness, and cost benefits analysis of sensor technologies for smart homes is necessary before these sensors should be widely deployed into real-world residential settings and successfully integrated into everyday life and health care services. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dumidu Wijayasekara; Ondrej Linda; Milos Manic

Building Energy Management Systems (BEMSs) are essential components of modern buildings that utilize digital control technologies to minimize energy consumption while maintaining high levels of occupant comfort. However, BEMSs can only achieve these energy savings when properly tuned and controlled. Since indoor environment is dependent on uncertain criteria such as weather, occupancy, and thermal state, performance of BEMS can be sub-optimal at times. Unfortunately, the complexity of BEMS control mechanism, the large amount of data available and inter-relations between the data can make identifying these sub-optimal behaviors difficult. This paper proposes a novel Fuzzy Anomaly Detection and Linguistic Description (Fuzzy-ADLD)more » based method for improving the understandability of BEMS behavior for improved state-awareness. The presented method is composed of two main parts: 1) detection of anomalous BEMS behavior and 2) linguistic representation of BEMS behavior. The first part utilizes modified nearest neighbor clustering algorithm and fuzzy logic rule extraction technique to build a model of normal BEMS behavior. The second part of the presented method computes the most relevant linguistic description of the identified anomalies. The presented Fuzzy-ADLD method was applied to real-world BEMS system and compared against a traditional alarm based BEMS. In six different scenarios, the Fuzzy-ADLD method identified anomalous behavior either as fast as or faster (an hour or more), that the alarm based BEMS. In addition, the Fuzzy-ADLD method identified cases that were missed by the alarm based system, demonstrating potential for increased state-awareness of abnormal building behavior.« less

Supporting the spread of health technology in community services.

PubMed

Sitton-Kent, Lucy; Humphreys, Catriona; Miller, Phillip

2018-03-02

Health technology has been proposed as a route to financial savings and improved patient safety for many years within the NHS. Nurses have a key role to play in transforming care through such technology but, despite high-level endorsement, implementation of health technology has been uneven across NHS community services. This article looks at three promising applications of health technology in community nursing: mobile access to digital care records; digital imaging; and remote face-to-face consultations. Current evidence for these technologies gives some indication of what is required before health technologies can benefit patients. Rapidly changing health technologies make it difficult for community services to make fully informed decisions when implementing them. There are challenges in predicting the full financial and efficiency impacts, in making robust estimates of costs and workload implications and in anticipating the effects on patient care and staff experience. Despite these problems, there is mounting evidence of the benefits of technological innovations available to community nurses and their patients.

Printed Wiring Board Cleaner Technologies Substitutes Assessment: Making Holes Conductive

EPA Pesticide Factsheets

This document presents comparative risk, competitiveness, and resource requirements on technologies for performing the “making holes conductive” function during printed wiring board manufacturing.

Social Identity and Preferences*

PubMed Central

Benjamin, Daniel J.; Choi, James J.; Strickland, A. Joshua

2009-01-01

Social identities prescribe behaviors for people. We identify the marginal behavioral effect of these norms on discount rates and risk aversion by measuring how laboratory subjects’ choices change when an aspect of social identity is made salient. When we make ethnic identity salient to Asian-American subjects, they make more patient choices. When we make racial identity salient to black subjects, non-immigrant blacks (but not immigrant blacks) make more patient choices. Making gender identity salient has no effect on intertemporal or risk choices. PMID:20871741

Evolutionary Agent-Based Simulation of the Introduction of New Technologies in Air Traffic Management

NASA Technical Reports Server (NTRS)

Yliniemi, Logan; Agogino, Adrian K.; Tumer, Kagan

2014-01-01

Accurate simulation of the effects of integrating new technologies into a complex system is critical to the modernization of our antiquated air traffic system, where there exist many layers of interacting procedures, controls, and automation all designed to cooperate with human operators. Additions of even simple new technologies may result in unexpected emergent behavior due to complex human/ machine interactions. One approach is to create high-fidelity human models coming from the field of human factors that can simulate a rich set of behaviors. However, such models are difficult to produce, especially to show unexpected emergent behavior coming from many human operators interacting simultaneously within a complex system. Instead of engineering complex human models, we directly model the emergent behavior by evolving goal directed agents, representing human users. Using evolution we can predict how the agent representing the human user reacts given his/her goals. In this paradigm, each autonomous agent in a system pursues individual goals, and the behavior of the system emerges from the interactions, foreseen or unforeseen, between the agents/actors. We show that this method reflects the integration of new technologies in a historical case, and apply the same methodology for a possible future technology.

Technologies to measure and modify physical activity and eating environments.

PubMed

King, Abby C; Glanz, Karen; Patrick, Kevin

2015-05-01

The explosion of technologic advances in information capture and delivery offers unparalleled opportunities to assess and modify built and social environments in ways that can positively impact health behaviors. This paper highlights some potentially transformative current and emerging trends in the technology arena applicable to environmental context-based assessment and intervention relevant to physical activity and dietary behaviors. A team of experts convened in 2013 to discuss the main issues related to technology use in assessing and changing built environments for health behaviors particularly relevant to obesity prevention. Each expert was assigned a specific domain to describe, commensurate with their research and expertise in the field, along with examples of specific applications. This activity was accompanied by selective examination of published literature to cover the main issues and elucidate relevant applications of technologic tools and innovations in this field. Decisions concerning which technology examples to highlight were reached through discussion and consensus-building among the team of experts. Two levels of impact are highlighted: the "me" domain, which primarily targets measurement and intervention activities aimed at individual-level behaviors and their surrounding environments; and the "we" domain, which generally focuses on aggregated data aimed at groups and larger population segments and locales. The paper ends with a set of challenges and opportunities for significantly advancing the field. Key areas for progress include data collection and expansion, managing technologic considerations, and working across sectors to maximize the population potential of behavioral health technologies. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

A Correlational Study of the Technology Acceptance Model and Georgia Behavioral Healthcare Provider Telemedicine Adoption

ERIC Educational Resources Information Center

Yallah, Ali

2014-01-01

The implementation of Telemedicine in behavioral health centers can be expensive if proactive steps were not taken to minimize user perceptions towards the new technology. Despite the significant capital investments on new Telemedicine, no consensus identified and explained what factors determined the acceptance, or rejection, of the technology.…

Attitudes and Behavior of Ajman University of Science and Technology Students towards the Environment

ERIC Educational Resources Information Center

Raman, Rasha Abdel

2016-01-01

This study examined the attitudes and behavior of Ajman University of Science and Technology (AUST) students towards the environment according to their gender and college. The research was based on a descriptive approach. The sample consisted of (375) students (230 males and 145 females) from different colleges (Law, Information Technology, Mass…

Representations for Semantic Learning Webs: Semantic Web Technology in Learning Support

ERIC Educational Resources Information Center

Dzbor, M.; Stutt, A.; Motta, E.; Collins, T.

2007-01-01

Recent work on applying semantic technologies to learning has concentrated on providing novel means of accessing and making use of learning objects. However, this is unnecessarily limiting: semantic technologies will make it possible to develop a range of educational Semantic Web services, such as interpretation, structure-visualization, support…

Technological Literacy for Teachers

ERIC Educational Resources Information Center

Hasse, Cathrine

2017-01-01

Ongoing developments in educational technologies place increasing demands on teachers who have to make decisions on a daily basis concerning how, when, and where to make use of technologies in classrooms. Building on results from the Danish project Technucation, this paper argues that there is a marked need for a teacher-specific version of the…

Lighting up the brain's reward circuitry.

PubMed

Lobo, Mary Kay

2012-07-01

The brain's reward circuit is critical for mediating natural reward behaviors including food, sex, and social interaction. Drugs of abuse take over this circuit and produce persistent molecular and cellular alterations in the brain regions and their neural circuitry that make up the reward pathway. Recent use of optogenetic technologies has provided novel insights into the functional and molecular role of the circuitry and cell subtypes within these circuits that constitute this pathway. This perspective will address the current and future use of light-activated proteins, including those involved in modulating neuronal activity, cellular signaling, and molecular properties in the neural circuitry mediating rewarding stimuli and maladaptive responses to drugs of abuse. © 2012 New York Academy of Sciences.

A Review of In Situ Observations of Crystallization and Growth in High Temperature Oxide Melts

NASA Astrophysics Data System (ADS)

Wang, Zhanjun; Sohn, Il

2018-05-01

This review summarizes the significant results of high-temperature confocal laser scanning microscopy (CLSM) and single hot thermocouple technology (SHTT) and its application in observing the crystallization and growth in high-temperature oxide melts from iron- and steel-making slags to continuous casting mold fluxes. Using in situ observations of CLSM and SHTT images of high-temperature molten oxides with time, temperature, and composition, the crystallization behavior, including crystal morphology, crystallization temperature, initial nucleation and growth rate, could be obtained. The broad range of applications using in situ observations during crystallization have provided a wealth of opportunities in pyrometallurgy and is provided in this review.

The role of simulation in the development and flight test of the HiMAT vehicle

NASA Technical Reports Server (NTRS)

Evans, M. B.; Schilling, L. J.

1984-01-01

Real time simulations have been essential in the flight test program of the highly maneuverable aircraft technology (HiMAT) remotely piloted research vehicle at NASA Ames Research Center's Dryden Flight Research Facility. The HiMAT project makes extensive use of simulations in design, development, and qualification for flight, pilot training, and flight planning. Four distinct simulations, each with varying amounts of hardware in the loop, were developed for the HiMAT project. The use of simulations in detecting anomalous behavior of the flight software and hardware at the various stages of development, verification, and validation has been the key to flight qualification of the HiMAT vehicle.

Computer-Tailored Intervention for Juvenile Offenders

PubMed Central

LEVESQUE, DEBORAH A.; JOHNSON, JANET L.; WELCH, CAROL A.; PROCHASKA, JANICE M.; FERNANDEZ, ANNE C.

2012-01-01

Studies assessing the efficacy of juvenile justice interventions show small effects on recidivism and other outcomes. This paper describes the development of a prototype of a multimedia computer-tailored intervention (“Rise Above Your Situation”or RAYS) that relies on an evidence-based model of behavior change, the Transtheoretical Model, and expert system technology to deliver assessments, feedback, printed reports, and counselor reports with intervention ideas. In a feasibility test involving 60 system-involved youths and their counselors, evaluations of the program were favorable: 91.7% of youths agreed that the program could help them make positive changes, and 86.7% agreed that the program could give their counselor helpful information about them. PMID:23264754

Who regulates ethics in the virtual world?

PubMed

Sharma, Seemu; Lomash, Hitashi; Bawa, Seema

2015-02-01

This paper attempts to give an insight into emerging ethical issues due to the increased usage of the Internet in our lives. We discuss three main theoretical approaches relating to the ethics involved in the information technology (IT) era: first, the use of IT as a tool; second, the use of social constructivist methods; and third, the approach of phenomenologists. Certain aspects of ethics and IT have been discussed based on a phenomenological approach and moral development. Further, ethical issues related to social networking sites are discussed. A plausible way to make the virtual world ethically responsive is collective responsibility which proposes that society has the power to influence but not control behavior in the virtual world.

Decision making from economic and signal detection perspectives: development of an integrated framework

PubMed Central

Lynn, Spencer K.; Wormwood, Jolie B.; Barrett, Lisa F.; Quigley, Karen S.

2015-01-01

Behavior is comprised of decisions made from moment to moment (i.e., to respond one way or another). Often, the decision maker cannot be certain of the value to be accrued from the decision (i.e., the outcome value). Decisions made under outcome value uncertainty form the basis of the economic framework of decision making. Behavior is also based on perception—perception of the external physical world and of the internal bodily milieu, which both provide cues that guide decision making. These perceptual signals are also often uncertain: another person's scowling facial expression may indicate threat or intense concentration, alternatives that require different responses from the perceiver. Decisions made under perceptual uncertainty form the basis of the signals framework of decision making. Traditional behavioral economic approaches to decision making focus on the uncertainty that comes from variability in possible outcome values, and typically ignore the influence of perceptual uncertainty. Conversely, traditional signal detection approaches to decision making focus on the uncertainty that arises from variability in perceptual signals and typically ignore the influence of outcome value uncertainty. Here, we compare and contrast the economic and signals frameworks that guide research in decision making, with the aim of promoting their integration. We show that an integrated framework can expand our ability to understand a wider variety of decision-making behaviors, in particular the complexly determined real-world decisions we all make every day. PMID:26217275

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bernard, Michael Lewis; Smith, Bruce W., 1959-

Understanding the role of emotional states is critical for predicting the kind of decisions people will make in risky situations. Currently, there is little understanding as to how emotion influences decision-making in situations such as terrorist attacks, natural disasters, pandemics, and combat. To help address this, we used behavioral and neuroimaging methods to examine how emotion states and traits influence decisions. Specifically, this study used a wheel of fortune behavioral task and functional magnetic resonance imaging (fMRI) to examine the effects of emotional states and traits on decision-making pertaining to the degree of risk people are willing to make inmore » specific situations. The behavioral results are reported here. The neural data requires additional time to analyze and will be reported at a future date. Biases caused by emotion states and traits were found regarding the likelihood of making risky decisions. The behavioral results will help provide a solid empirical foundation for modeling the effects of emotion on decision in risky situations.« less

Assistive technology evaluations: Remote-microphone technology for children with Autism Spectrum Disorder.

PubMed

Schafer, Erin C; Wright, Suzanne; Anderson, Christine; Jones, Jessalyn; Pitts, Katie; Bryant, Danielle; Watson, Melissa; Box, Jerrica; Neve, Melissa; Mathews, Lauren; Reed, Mary Pat

The goal of this study was to conduct assistive technology evaluations on 12 children diagnosed with Autism Spectrum Disorder (ASD) to evaluate the potential benefits of remote-microphone (RM) technology. A single group, within-subjects design was utilized to explore individual and group data from functional questionnaires and behavioral test measures administered, designed to assess school- and home-based listening abilities, once with and once without RM technology. Because some of the children were unable to complete the behavioral test measures, particular focus was given to the functional questionnaires completed by primary teachers, participants, and parents. Behavioral test measures with and without the RM technology included speech recognition in noise, auditory comprehension, and acceptable noise levels. The individual and group teacher (n=8-9), parent (n=8-9), and participant (n=9) questionnaire ratings revealed substantially less listening difficulty when RM technology was used compared to the no-device ratings. On the behavioral measures, individual data revealed varied findings, which will be discussed in detail in the results section. However, on average, the use of the RM technology resulted in improvements in speech recognition in noise (4.6dB improvement) in eight children, higher auditory working memory and comprehension scores (12-13 point improvement) in seven children, and acceptance of poorer signal-to-noise ratios (8.6dB improvement) in five children. The individual and group data from this study suggest that RM technology may improve auditory function in children with ASD in the classroom, at home, and in social situations. However, variability in the data and the inability of some children to complete the behavioral measures indicates that individualized assistive technology evaluations including functional questionnaires will be necessary to determine if the RM technology will be of benefit to a particular child who has ASD. Copyright © 2016 Elsevier Inc. All rights reserved.

Ubiquitous computing technology for just-in-time motivation of behavior change.

PubMed

Intille, Stephen S

2004-01-01

This paper describes a vision of health care where "just-in-time" user interfaces are used to transform people from passive to active consumers of health care. Systems that use computational pattern recognition to detect points of decision, behavior, or consequences automatically can present motivational messages to encourage healthy behavior at just the right time. Further, new ubiquitous computing and mobile computing devices permit information to be conveyed to users at just the right place. In combination, computer systems that present messages at the right time and place can be developed to motivate physical activity and healthy eating. Computational sensing technologies can also be used to measure the impact of the motivational technology on behavior.

Digital Decisions: Educators, Caregivers and Parents Must Be well Informed When Making Decisions about Children's Use of Technology and Media

ERIC Educational Resources Information Center

Pepper, Stephanie Puckett

2015-01-01

Increasingly, technology plays an important role in the daily lives of children, both at home and at school. Making informed decisions about the wise application and frequency of technology and media use can be both challenging and overwhelming for parents, caregivers and educators. Many issues surround the unwise use of technology and media by…

Electrolyser and fuel cells, key elements for energy and life support

NASA Astrophysics Data System (ADS)

Bockstahler, Klaus; Funke, Helmut; Lucas, Joachim

Both, Electrolyser and Fuel Cells are key elements for regenerative energy and life support systems. Electrolyser technology is originally intended for oxygen production in manned space habitats and in submarines, through splitting water into hydrogen and oxygen. Fuel cells serve for energy production through the reaction, triggered in the presence of an electrolyte, between a fuel and an oxidant. Now combining both technologies i.e. electrolyser and fuel cell makes it a Regenerative Fuel Cell System (RFCS). In charge mode, i.e. with energy supplied e.g. by solar cells, the electrolyser splits water into hydrogen and oxygen being stored in tanks. In discharge mode, when power is needed but no energy is available, the stored gases are converted in the fuel cell to generate electricity under the formation of water that is stored in tanks. Rerouting the water to the electrolyser makes it a closed-loop i.e. regenerative process. Different electrolyser and fuel cell technologies are being evolved. At Astrium emphasis is put on the development of an RFCS comprised of Fixed Alkaline Electrolyser (FAE) and Fuel Cell (AFC) as such technology offers a high electrical efficiency and thus reduced system weight, which is important in space applications. With increasing power demand and increasing discharge time an RFCS proves to be superior to batteries. Since the early technology development multiple design refinements were done at Astrium, funded by the European Space Agency ESA and the German National Agency DLR as well as based on company internal R and T funding. Today a complete RFCS energy system breadboard is established and the operational behavior of the system is being tested. In parallel the electrolyser itself is subject to design refinement and testing in terms of oxygen production in manned space habitats. In addition essential features and components for process monitoring and control are being developed. The present results and achievements and the dedicated experience gained from testing will be presented, complemented by an outlook on next development steps preparatory to the application of electrolyser and fuel cell technology in human and robotic exploration building blocks.

Mapping collective behavior in the big-data era.

PubMed

Bentley, R Alexander; O'Brien, Michael J; Brock, William A

2014-02-01

The behavioral sciences have flourished by studying how traditional and/or rational behavior has been governed throughout most of human history by relatively well-informed individual and social learning. In the online age, however, social phenomena can occur with unprecedented scale and unpredictability, and individuals have access to social connections never before possible. Similarly, behavioral scientists now have access to "big data" sets - those from Twitter and Facebook, for example - that did not exist a few years ago. Studies of human dynamics based on these data sets are novel and exciting but, if not placed in context, can foster the misconception that mass-scale online behavior is all we need to understand, for example, how humans make decisions. To overcome that misconception, we draw on the field of discrete-choice theory to create a multiscale comparative "map" that, like a principal-components representation, captures the essence of decision making along two axes: (1) an east-west dimension that represents the degree to which an agent makes a decision independently versus one that is socially influenced, and (2) a north-south dimension that represents the degree to which there is transparency in the payoffs and risks associated with the decisions agents make. We divide the map into quadrants, each of which features a signature behavioral pattern. When taken together, the map and its signatures provide an easily understood empirical framework for evaluating how modern collective behavior may be changing in the digital age, including whether behavior is becoming more individualistic, as people seek out exactly what they want, or more social, as people become more inextricably linked, even "herdlike," in their decision making. We believe the map will lead to many new testable hypotheses concerning human behavior as well as to similar applications throughout the social sciences.

Current mHealth Technologies for Physical Activity Assessment and Promotion

PubMed Central

O’Reilly, Gillian A.; Spruijt-Metz, Donna

2014-01-01

Context Novel mobile assessment and intervention capabilities are changing the face of physical activity (PA) research. A comprehensive systematic review of how mobile technology has been used for measuring PA and promoting PA behavior change is needed. Evidence acquisition Article collection was conducted using six databases from February to June 2012 with search terms related to mobile technology and PA. Articles that described the use of mobile technologies for PA assessment, sedentary behavior assessment, and/or interventions for PA behavior change were included. Articles were screened for inclusion and study information was extracted. Evidence synthesis Analyses were conducted from June to September 2012. Mobile phone–based journals and questionnaires, short message service (SMS) prompts, and on-body PA sensing systems were the mobile technologies most utilized. Results indicate that mobile journals and questionnaires are effective PA self-report measurement tools. Intervention studies that reported successful promotion of PA behavior change employed SMS communication, mobile journaling, or both SMS and mobile journaling. Conclusions mHealth technologies are increasingly being employed to assess and intervene on PA in clinical, epidemiologic, and intervention research. The wide variations in technologies used and outcomes measured limit comparability across studies, and hamper identification of the most promising technologies. Further, the pace of technologic advancement currently outstrips that of scientific inquiry. New adaptive, sequential research designs that take advantage of ongoing technology development are needed. At the same time, scientific norms must shift to accept “smart,” adaptive, iterative, evidence-based assessment and intervention technologies that will, by nature, improve during implementation. PMID:24050427

Current mHealth technologies for physical activity assessment and promotion.

PubMed

O'Reilly, Gillian A; Spruijt-Metz, Donna

2013-10-01

Novel mobile assessment and intervention capabilities are changing the face of physical activity (PA) research. A comprehensive systematic review of how mobile technology has been used for measuring PA and promoting PA behavior change is needed. Article collection was conducted using six databases from February to June 2012 with search terms related to mobile technology and PA. Articles that described the use of mobile technologies for PA assessment, sedentary behavior assessment, and/or interventions for PA behavior change were included. Articles were screened for inclusion and study information was extracted. Analyses were conducted from June to September 2012. Mobile phone-based journals and questionnaires, short message service (SMS) prompts, and on-body PA sensing systems were the mobile technologies most utilized. Results indicate that mobile journals and questionnaires are effective PA self-report measurement tools. Intervention studies that reported successful promotion of PA behavior change employed SMS communication, mobile journaling, or both SMS and mobile journaling. mHealth technologies are increasingly being employed to assess and intervene on PA in clinical, epidemiologic, and intervention research. The wide variations in technologies used and outcomes measured limit comparability across studies, and hamper identification of the most promising technologies. Further, the pace of technologic advancement currently outstrips that of scientific inquiry. New adaptive, sequential research designs that take advantage of ongoing technology development are needed. At the same time, scientific norms must shift to accept "smart," adaptive, iterative, evidence-based assessment and intervention technologies that will, by nature, improve during implementation. © 2013 American Journal of Preventive Medicine.

Protective Effects of Parent-College Student Communication During the First Semester of College

PubMed Central

Small, Meg L.; Morgan, Nicole; Abar, Caitlin; Maggs, Jennifer L.

2011-01-01

Objective Recent studies suggest that parents maintain influence as their adolescents transition into college. Advances in communication technology make frequent communication between parents and college students easy and affordable. This study examines the protective effect of parent-college student communication on student drinking behaviors, estimated peak blood alcohol concentration (eBAC), and serious negative consequences of drinking. Participants Participants were 746 first-year, first-time, full-time students at a large university in the U.S. Methods Participants completed a baseline and 14 daily web-based surveys. Results The amount of time spent communicating with parents on weekend days predicted the number of drinks consumed, heavy drinking, and peak eBAC consistent with a protective within-person effect. No association between communication and serious negative consequences was observed. Conclusions Encouraging parents to communicate with their college students, particularly on weekend days, could be a relatively simple, easily implemented protective process to reduce dangerous drinking behaviors. PMID:21660810

Synaptogenesis and heritable aspects of executive attention.

PubMed

Fossella, John A; Sommer, Tobias; Fan, Jin; Pfaff, Don; Posner, Michael I

2003-01-01

In humans, changes in brain structure and function can be measured non-invasively during postnatal development. In animals, advanced optical imaging measures can track the formation of synapses during learning and behavior. With the recent progress in these technologies, it is appropriate to begin to assess how the physiological processes of synapse, circuit, and neural network formation relate to the process of cognitive development. Of particular interest is the development of executive function, which develops more gradually in humans. One approach that has shown promise is molecular genetics. The completion of the human genome project and the human genome diversity project make it straightforward to ask whether variation in a particular gene correlates with variation in behavior, brain structure, brain activity, or all of the above. Strategies that unify the wealth of biochemical knowledge pertaining to synapse formation with the functional measures of brain structure and activity may lead to new insights in developmental cognitive psychology. Copyright 2003 Wiley-Liss, Inc.

Work-Family Conflict, Family-Supportive Supervisor Behaviors (FSSB), and Sleep Outcomes

PubMed Central

Crain, Tori L.; Hammer, Leslie B.; Bodner, Todd; Kossek, Ellen Ernst; Moen, Phyllis; Lilienthal, Richard; Buxton, Orfeu M.

2014-01-01

Although critical to health and well-being, relatively little research has been conducted in the organizational literature on linkages between the work-family interface and sleep. Drawing on Conservation of Resources theory, we use a sample of 623 information technology workers to examine the relationships between work-family conflict, family-supportive supervisor behaviors (FSSB), and sleep quality and quantity. Validated wrist actigraphy methods were used to collect objective sleep quality and quantity data over a one week period of time, and survey methods were used to collect information on self-reported work-family conflict, FSSB, and sleep quality and quantity. Results demonstrated that the combination of predictors (i.e., work-to-family conflict, family-to-work conflict, FSSB) was significantly related to both objective and self-report measures of sleep quantity and quality. Future research should further examine the work-family interface to sleep link and make use of interventions targeting the work-family interface as a means for improving sleep health. PMID:24730425

Colloquium : Emergent properties in plane view: Strong correlations at oxide interfaces

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chakhalian, Jak; Freeland, John W.; Millis, Andrew J.

2014-10-01

Finding new collective electronic states in materials is one of the fundamental goals of condensed matter physics. Atomic-scale superlattices formed from transition metal oxides are a particularly appealing hunting ground for new physics. In bulk form, transition metal oxides exhibit a remarkable range of magnetic, superconducting, and multiferroic phases that are of great scientific interest and are potentially capable of providing innovative energy, security, electronics, and medical technology platforms. In superlattices new states may emerge at the interfaces where dissimilar materials meet. This Colloquium illustrates the essential features that make transition metal oxide-based heterostructures an appealing discovery platform for emergentmore » properties with a few selected examples, showing how charge redistributes, magnetism and orbital polarization arises, and ferroelectric order emerges from heterostructures comprised of oxide components with nominally contradictory behavior with the aim providing insight into the creation and control of novel behavior at oxide interfaces by suitable mechanical, electrical, or optical boundary conditions and excitations.« less

A view of microstructure with technological behavior of waste incorporated ceramic bricks.

PubMed

Nirmala, G; Viruthagiri, G

2015-01-25

Production of ceramic bricks from mixtures of ceramic industry wastes (up to 50 wt%) from the area of Vriddhachalam, Cuddalore district, Tamilnadu, India and kaolinitic clay from Thiruvananthapuram district, Kerala were investigated. The firing behavior of the ceramic mixtures was studied by determining their changes in mineralogy and basic ceramic properties such as water absorption, porosity, compressive strength and firing shrinkage at temperatures ranging from 900 to 1200 °C in short firing cycles. The effect of the rejects addition gradually up to 50 wt% was analyzed with the variation of temperature on the mechanical properties and microstructure of the bricks. The highest compressive strength and lowest water absorption is observed for the sample with 40% rejects at 1100 °C which is supported by the results of SEM analysis. The resulting ceramic bricks exhibit features that suggest possibilities of using the ceramic rejects in the conventional brick making methods. Copyright © 2014 Elsevier B.V. All rights reserved.

A review of reward processing and motivational impairment in schizophrenia.

PubMed

Strauss, Gregory P; Waltz, James A; Gold, James M

2014-03-01

This article reviews and synthesizes research on reward processing in schizophrenia, which has begun to provide important insights into the cognitive and neural mechanisms associated with motivational impairments. Aberrant cortical-striatal interactions may be involved with multiple reward processing abnormalities, including: (1) dopamine-mediated basal ganglia systems that support reinforcement learning and the ability to predict cues that lead to rewarding outcomes; (2) orbitofrontal cortex-driven deficits in generating, updating, and maintaining value representations; (3) aberrant effort-value computations, which may be mediated by disrupted anterior cingulate cortex and midbrain dopamine functioning; and (4) altered activation of the prefrontal cortex, which is important for generating exploratory behaviors in environments where reward outcomes are uncertain. It will be important for psychosocial interventions targeting negative symptoms to account for abnormalities in each of these reward processes, which may also have important interactions; suggestions for novel behavioral intervention strategies that make use of external cues, reinforcers, and mobile technology are discussed.

Teaching Behavioral Ethics: Overcoming the Key Impediments to Ethical Behavior

ERIC Educational Resources Information Center

Schwartz, Mark S.

2017-01-01

To better understand the ethical decision-making process and why individuals fail to act ethically, the aim of this article is to explore what are seen as the key impediments to ethical behavior and their pedagogical implications. Using the ethical decision-making process proposed by Rest as an overarching framework, the article examines the…

Parental Rearing Behavior Prospectively Predicts Adolescents' Risky Decision-Making and Feedback-Related Electrical Brain Activity

ERIC Educational Resources Information Center

Euser, Anja S.; Evans, Brittany E.; Greaves-Lord, Kirstin; Huizink, Anja C.; Franken, Ingmar H. A.

2013-01-01

The present study examined the role of parental rearing behavior in adolescents' risky decision-making and the brain's feedback processing mechanisms. Healthy adolescent participants ("n" = 110) completed the EMBU-C, a self-report questionnaire on perceived parental rearing behaviors between 2006 and 2008 (T1). Subsequently, after an…

Decision-Making Behavioral Change in Students Connected With Their Participation in a First Theoretical Management Course.

ERIC Educational Resources Information Center

Badley, Tommy D.

The educational discipline of Management is an inexact science. Because of the difficulty in measuring the effects of the academic study of Management on decision-making and related behaviors, a commercial instrument, the "How Supervise?" questionnaire, was tested as a possible means of measuring "before and after treatment" behaviors. The…

Constructing food choice decisions.

PubMed

Sobal, Jeffery; Bisogni, Carole A

2009-12-01

Food choice decisions are frequent, multifaceted, situational, dynamic, and complex and lead to food behaviors where people acquire, prepare, serve, give away, store, eat, and clean up. Many disciplines and fields examine decision making. Several classes of theories are applicable to food decision making, including social behavior, social facts, and social definition perspectives. Each offers some insights but also makes limiting assumptions that prevent fully explaining food choice decisions. We used constructionist social definition perspectives to inductively develop a food choice process model that organizes a broad scope of factors and dynamics involved in food behaviors. This food choice process model includes (1) life course events and experiences that establish a food choice trajectory through transitions, turning points, timing, and contexts; (2) influences on food choices that include cultural ideals, personal factors, resources, social factors, and present contexts; and (3) a personal system that develops food choice values, negotiates and balances values, classifies foods and situations, and forms/revises food choice strategies, scripts, and routines. The parts of the model dynamically interact to make food choice decisions leading to food behaviors. No single theory can fully explain decision making in food behavior. Multiple perspectives are needed, including constructionist thinking.

THE IMPACT OF RACISM ON CLINICIAN COGNITION, BEHAVIOR, AND CLINICAL DECISION MAKING

PubMed Central

van Ryn, Michelle; Burgess, Diana J.; Dovidio, John F.; Phelan, Sean M.; Saha, Somnath; Malat, Jennifer; Griffin, Joan M.; Fu, Steven S.; Perry, Sylvia

2014-01-01

Over the past two decades, thousands of studies have demonstrated that Blacks receive lower quality medical care than Whites, independent of disease status, setting, insurance, and other clinically relevant factors. Despite this, there has been little progress towards eradicating these inequities. Almost a decade ago we proposed a conceptual model identifying mechanisms through which clinicians’ behavior, cognition, and decision making might be influenced by implicit racial biases and explicit racial stereotypes, and thereby contribute to racial inequities in care. Empirical evidence has supported many of these hypothesized mechanisms, demonstrating that White medical care clinicians: (1) hold negative implicit racial biases and explicit racial stereotypes, (2) have implicit racial biases that persist independently of and in contrast to their explicit (conscious) racial attitudes, and (3) can be influenced by racial bias in their clinical decision making and behavior during encounters with Black patients. This paper applies evidence from several disciplines to further specify our original model and elaborate on the ways racism can interact with cognitive biases to affect clinicians’ behavior and decisions and in turn, patient behavior and decisions. We then highlight avenues for intervention and make specific recommendations to medical care and grant-making organizations. PMID:24761152

Exploring Ways of Influencing Transport Behaviors by Using Telecommunications Technologies

DOT National Transportation Integrated Search

2004-06-01

Information technology can facilitate substitution and modification of transportation behaviors. Distance Learning (DL) can replace library work, meetings, and some traditional face-to-face class meetings. For off-campus full-time students, and for p...

Chapter 15: Using System Dynamics to Model Industry's Developmental Response to Energy Policy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bush, Brian; Inman, Daniel; Newes, Emily

In this chapter we explore the potential development of the biofuels industry using the Biomass Scenario Model (BSM), a system dynamics model developed at the National Renewable Energy Laboratory through the support of the U.S. Department of Energy. The BSM is designed to analyze the implications of policy on the development of the supply chain for biofuels in the United States. It explicitly represents the behavior of decision makers such as farmers, investors, fueling station owners, and consumers. We analyze several illustrative case studies that explore a range of policies and discuss how incentives interact with individual parts of themore » supply chain as well as the industry as a whole. The BSM represents specific incentives that are intended to approximate policy in the form of selected laws and regulations. Through characterizing the decision making behaviors of economic actors within the supply chain that critically influence the adoption rate of new biofuels production technologies and demonstrating synergies among policies, we find that incentives with coordinated impacts on each major element of the supply chain catalyze net effects of decision maker behavior such that the combined incentives are greater than the summed effects of individual incentives in isolation.« less

A sheet metal forming simulation of automotive outer panels considering the behavior of air in die cavity

NASA Astrophysics Data System (ADS)

Choi, Kwang Yong; Kim, Yun Chang; Choi, Hee Kwan; Kang, Chul Ho; Kim, Heon Young

2013-12-01

During a sheet metal forming process of automotive outer panels, the air trapped between a blank sheet and a die tool can become highly compressed, ultimately influencing the blank deformation and the press force. To prevent this problem, vent holes are drilled into die tools and needs several tens to hundreds according to the model size. The design and the drilling of vent holes are based on expert's experience and try-out result and thus the process can be one of reasons increasing development cycle. Therefore the study on the size, the number, and the position of vent holes is demanded for reducing development cycle, but there is no simulation technology for analyzing forming defects, making numerical sheet metal forming process simulations that incorporate the fluid dynamics of air. This study presents a sheet metal forming simulation of automotive outer panels (a roof and a body side outer) that simultaneously simulates the behavior of air in a die cavity. Through CAE results, the effect of air behavior and vent holes to blank deformation was analyzed. For this study, the commercial software PAM-STAMP{trade mark, serif} and PAM-SAFE{trade mark, serif} was used.

Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study.

PubMed

Martin, Emily C; Basen-Engquist, Karen; Cox, Matthew G; Lyons, Elizabeth J; Carmack, Cindy L; Blalock, Janice A; Demark-Wahnefried, Wendy

2016-02-11

Effective, broad-reaching channels are important for the delivery of health behavior interventions in order to meet the needs of the growing population of cancer survivors in the United States. New technology presents opportunities to increase the reach of health behavior change interventions and therefore their overall impact. However, evidence suggests that older adults may be slower in their adoption of these technologies than the general population. Survivors' interest for more traditional channels of delivery (eg, clinic) versus new technology-based channels (eg, smartphones) may depend on a variety of factors, including demographics, current health status, and the behavior requiring intervention. The aim of this study was to determine the factors that predict cancer survivors' interest in new technology-based health behavior intervention modalities versus traditional modalities. Surveys were mailed to 1871 survivors of breast, prostate, and colorectal cancer. Participants' demographics, diet and physical activity behaviors, interest in health behavior interventions, and interest in intervention delivery modalities were collected. Using path analysis, we explored the relationship between four intervention modality variables (ie, clinic, telephone, computer, and smartphone) and potential predictors of modality interest. In total, 1053 respondents to the survey (56.3% response rate); 847 provided complete data for this analysis. Delivery channel interest was highest for computer-based interventions (236/847, 27.9% very/extremely interested) and lowest for smartphone-based interventions (73/847, 8.6%), with interest in clinic-based (147/847, 17.3%) and telephone-delivered (143/847, 16.9%) falling in between. Use of other technology platforms, such as Web cameras and social networking sites, was positively predictive of interest in technology-based delivery channels. Older survivors were less likely to report interest in smartphone-based diet interventions. Physical activity, fruit and vegetable consumption, weight status, and age moderated relationships between interest in targeted intervention behavior and modality. This study identified several predictors of survivor interest in various health behavior intervention delivery modalities. Overall, computer-based interventions were found to be most acceptable, while smartphones were the least. Factors related to survivors' current technology use and health status play a role in their interest for technology-based intervention versus more traditional delivery channels. Future health behavior change research in this population should consider participants' demographic, clinical, and lifestyle characteristics when selecting a delivery channel. Furthermore, current health behavior interventions for older cancer survivors may be best delivered over the Internet. Smartphone interventions may be feasible in the future following further adoption and familiarization by this particular population. ©Emily C Martin, Karen Basen-Engquist, Matthew G Cox, Elizabeth J Lyons, Cindy L Carmack, Janice A Blalock, Wendy Demark-Wahnefried. Originally published in JMIR Cancer (http://cancer.jmir.org), 11.02.2016.

Elucidating Poor Decision-Making in a Rat Gambling Task

PubMed Central

Seriès, Peggy; Marchand, Alain R.; Dellu-Hagedorn, Françoise

2013-01-01

Although poor decision-making is a hallmark of psychiatric conditions such as attention deficit/hyperactivity disorder, pathological gambling or substance abuse, a fraction of healthy individuals exhibit similar poor decision-making performances in everyday life and specific laboratory tasks such as the Iowa Gambling Task. These particular individuals may provide information on risk factors or common endophenotypes of these mental disorders. In a rodent version of the Iowa gambling task – the Rat Gambling Task (RGT), we identified a population of poor decision makers, and assessed how these rats scored for several behavioral traits relevant to executive disorders: risk taking, reward seeking, behavioral inflexibility, and several aspects of impulsivity. First, we found that poor decision-making could not be well predicted by single behavioral and cognitive characteristics when considered separately. By contrast, a combination of independent traits in the same individual, namely risk taking, reward seeking, behavioral inflexibility, as well as motor impulsivity, was highly predictive of poor decision-making. Second, using a reinforcement-learning model of the RGT, we confirmed that only the combination of extreme scores on these traits could induce maladaptive decision-making. Third, the model suggested that a combination of these behavioral traits results in an inaccurate representation of rewards and penalties and inefficient learning of the environment. Poor decision-making appears as a consequence of the over-valuation of high-reward-high-risk options in the task. Such a specific psychological profile could greatly impair clinically healthy individuals in decision-making tasks and may predispose to mental disorders with similar symptoms. PMID:24339988

Elucidating poor decision-making in a rat gambling task.

PubMed

Rivalan, Marion; Valton, Vincent; Seriès, Peggy; Marchand, Alain R; Dellu-Hagedorn, Françoise

2013-01-01

Although poor decision-making is a hallmark of psychiatric conditions such as attention deficit/hyperactivity disorder, pathological gambling or substance abuse, a fraction of healthy individuals exhibit similar poor decision-making performances in everyday life and specific laboratory tasks such as the Iowa Gambling Task. These particular individuals may provide information on risk factors or common endophenotypes of these mental disorders. In a rodent version of the Iowa gambling task--the Rat Gambling Task (RGT), we identified a population of poor decision makers, and assessed how these rats scored for several behavioral traits relevant to executive disorders: risk taking, reward seeking, behavioral inflexibility, and several aspects of impulsivity. First, we found that poor decision-making could not be well predicted by single behavioral and cognitive characteristics when considered separately. By contrast, a combination of independent traits in the same individual, namely risk taking, reward seeking, behavioral inflexibility, as well as motor impulsivity, was highly predictive of poor decision-making. Second, using a reinforcement-learning model of the RGT, we confirmed that only the combination of extreme scores on these traits could induce maladaptive decision-making. Third, the model suggested that a combination of these behavioral traits results in an inaccurate representation of rewards and penalties and inefficient learning of the environment. Poor decision-making appears as a consequence of the over-valuation of high-reward-high-risk options in the task. Such a specific psychological profile could greatly impair clinically healthy individuals in decision-making tasks and may predispose to mental disorders with similar symptoms.

Self-Stigma and Consumer Participation in Shared Decision Making in Mental Health Services.

PubMed

Hamann, Johannes; Bühner, Markus; Rüsch, Nicolas

2017-08-01

People with mental illness struggle with symptoms and with public stigma. Some accept common prejudices and lose self-esteem, resulting in shame and self-stigma, which may affect their interactions with mental health professionals. This study explored whether self-stigma and shame are associated with consumers' preferences for participation in medical decision making and their behavior in psychiatric consultations. In a cross-sectional study conducted in Germany, 329 individuals with a diagnosis of a schizophrenia spectrum disorder or an affective disorder and their psychiatrists provided sociodemographic and illness-related information. Self-stigma, shame, locus of control, and views about clinical decision making were assessed by self-report. Psychiatrists rated their impression of the decision-making behavior of consumers. Regression analyses and structural equation modeling were used to determine the association of self-stigma and shame with clinical decision making. Self-stigma was not related to consumers' participation preferences, but it was associated with some aspects of communicative behavior. Active and critical behavior (for example, expressing views, daring to challenge the doctor's opinion, and openly speaking out about disagreements with the doctor) was associated with less shame, less self-stigma, more self-responsibility, less attribution of external control to powerful others, and more years of education. Self-stigma and shame were associated with less participative and critical behavior, which probably leads to clinical encounters that involve less shared decision making and more paternalistic decision making. Paternalistic decision making may reinforce self-stigma and lead to poorer health outcomes. Therefore, interventions that reduce self-stigma and increase consumers' critical and participative communication may improve health outcomes.

From innovation to standard practice: Developing and disseminating behavioral procedures

PubMed Central

Paine, Stan C.; Bellamy, G. Thomas

1982-01-01

This paper proposes a three-stage continuum for discussing the development and dissemination of behavioral technology. At the level of behavioral techniques, researchers need only establish a functional relationship between technologically defined intervention procedures and socially significant target behaviors. Dissemination is conducted for informational purposes only, and the purposes and details surrounding subsequent use of the technique are left to the discretion of the user. At the level of behavioral demonstration, a collection of socially acceptable intervention procedures is refined and standardized and must be shown to produce behavior changes across a number of subjects. Here dissemination is conducted, in large part, to generate support for provision of services. At the level of behavioral models, procedural descriptions must be useroriented. Additionally, model effects must be obtainable by agents not associated with their development and must compare favorably with other treatment or service alternatives. The purpose of dissemination at this level is to obtain adoptions and replications of the model. Details of development and dissemination of behavioral technology at each of these three levels are discussed. PMID:22478555

Automation and adaptation: Nurses' problem-solving behavior following the implementation of bar coded medication administration technology.

PubMed

Holden, Richard J; Rivera-Rodriguez, A Joy; Faye, Héléne; Scanlon, Matthew C; Karsh, Ben-Tzion

2013-08-01

The most common change facing nurses today is new technology, particularly bar coded medication administration technology (BCMA). However, there is a dearth of knowledge on how BCMA alters nursing work. This study investigated how BCMA technology affected nursing work, particularly nurses' operational problem-solving behavior. Cognitive systems engineering observations and interviews were conducted after the implementation of BCMA in three nursing units of a freestanding pediatric hospital. Problem-solving behavior, associated problems, and goals, were specifically defined and extracted from observed episodes of care. Three broad themes regarding BCMA's impact on problem solving were identified. First, BCMA allowed nurses to invent new problem-solving behavior to deal with pre-existing problems. Second, BCMA made it difficult or impossible to apply some problem-solving behaviors that were commonly used pre-BCMA, often requiring nurses to use potentially risky workarounds to achieve their goals. Third, BCMA created new problems that nurses were either able to solve using familiar or novel problem-solving behaviors, or unable to solve effectively. Results from this study shed light on hidden hazards and suggest three critical design needs: (1) ecologically valid design; (2) anticipatory control; and (3) basic usability. Principled studies of the actual nature of clinicians' work, including problem solving, are necessary to uncover hidden hazards and to inform health information technology design and redesign.

Automation and adaptation: Nurses’ problem-solving behavior following the implementation of bar coded medication administration technology

PubMed Central

Holden, Richard J.; Rivera-Rodriguez, A. Joy; Faye, Héléne; Scanlon, Matthew C.; Karsh, Ben-Tzion

2012-01-01

The most common change facing nurses today is new technology, particularly bar coded medication administration technology (BCMA). However, there is a dearth of knowledge on how BCMA alters nursing work. This study investigated how BCMA technology affected nursing work, particularly nurses’ operational problem-solving behavior. Cognitive systems engineering observations and interviews were conducted after the implementation of BCMA in three nursing units of a freestanding pediatric hospital. Problem-solving behavior, associated problems, and goals, were specifically defined and extracted from observed episodes of care. Three broad themes regarding BCMA’s impact on problem solving were identified. First, BCMA allowed nurses to invent new problem-solving behavior to deal with pre-existing problems. Second, BCMA made it difficult or impossible to apply some problem-solving behaviors that were commonly used pre-BCMA, often requiring nurses to use potentially risky workarounds to achieve their goals. Third, BCMA created new problems that nurses were either able to solve using familiar or novel problem-solving behaviors, or unable to solve effectively. Results from this study shed light on hidden hazards and suggest three critical design needs: (1) ecologically valid design; (2) anticipatory control; and (3) basic usability. Principled studies of the actual nature of clinicians’ work, including problem solving, are necessary to uncover hidden hazards and to inform health information technology design and redesign. PMID:24443642

Modeling the Benchmark Active Control Technology Wind-Tunnel Model for Active Control Design Applications

NASA Technical Reports Server (NTRS)

Waszak, Martin R.

1998-01-01

This report describes the formulation of a model of the dynamic behavior of the Benchmark Active Controls Technology (BACT) wind tunnel model for active control design and analysis applications. The model is formed by combining the equations of motion for the BACT wind tunnel model with actuator models and a model of wind tunnel turbulence. The primary focus of this report is the development of the equations of motion from first principles by using Lagrange's equations and the principle of virtual work. A numerical form of the model is generated by making use of parameters obtained from both experiment and analysis. Comparisons between experimental and analytical data obtained from the numerical model show excellent agreement and suggest that simple coefficient-based aerodynamics are sufficient to accurately characterize the aeroelastic response of the BACT wind tunnel model. The equations of motion developed herein have been used to aid in the design and analysis of a number of flutter suppression controllers that have been successfully implemented.

Nicholson Medal for Human Outreach Talk: Attracting girls to physics: the itinerant science project

NASA Astrophysics Data System (ADS)

Barbosa, Marcia

2010-03-01

Women are underrepresented in physics in Brazil. The percentage of women taking undergraduate studies in physics is below 20% much below medicine where women are now days the majority of the undergraduate students. In order to attract girls to physics the we developed a science truck that visits suburbs as well as the underdeveloped areas of the city. During this visits the kids are exposed to the applications of physics to the world and in particular to technology. They have the chance to manipulate experiments and to learn how they are related to real life technology. After playing with the experiments they answer a simple questionnaire designed to understand how their view about physics have changed due to this experience. We observed that the girls exhibit a less active behavior when given the chance make experiments becoming more active when stimulated. When questioned about the change in their perception regarding physics after being exposed to the experiments the girls show a more significant change in perception than the boys.

HAN-Based Monopropellant Technology Development

NASA Technical Reports Server (NTRS)

Reed, Brian

2002-01-01

NASA Glenn Research Center is sponsoring efforts to develop technology for high-performance, high-density, low-freezing point, low-hazards monopropellant systems. The program is focused on a family of monopropellant formulations composed of an aqueous solution of hydroxylammonium nitrate (HAN) and a fuel component. HAN-based monopropellants offer significant mass and volume savings to small (less than 100 kg) satellite for orbit raising and on-orbit propulsion applications. The low-hazards characteristics of HAN-based monopropellants make them attractive for applications where ground processing costs are a significant concern. A 1-lbf thruster has been demonstrated to a 20-kg satellite orbit insertion duty cycle, using a formulation compatible with currently available catalysts. To achieve specific impulse levels above those of hydrazine, catalyst materials that can withstand the high-temperature, corrosive combustion environment of HAN-based monopropellants have to be developed. There also needs to be work done to characterize propellant properties, burning behavior, and material compatibility. NASA is coordinating their monopropellant efforts with those of the United States Air Force.

Nanopipettes as Monitoring Probes for the Single Living Cell: State of the Art and Future Directions in Molecular Biology.

PubMed

Bulbul, Gonca; Chaves, Gepoliano; Olivier, Joseph; Ozel, Rifat Emrah; Pourmand, Nader

2018-06-06

Examining the behavior of a single cell within its natural environment is valuable for understanding both the biological processes that control the function of cells and how injury or disease lead to pathological change of their function. Single-cell analysis can reveal information regarding the causes of genetic changes, and it can contribute to studies on the molecular basis of cell transformation and proliferation. By contrast, whole tissue biopsies can only yield information on a statistical average of several processes occurring in a population of different cells. Electrowetting within a nanopipette provides a nanobiopsy platform for the extraction of cellular material from single living cells. Additionally, functionalized nanopipette sensing probes can differentiate analytes based on their size, shape or charge density, making the technology uniquely suited to sensing changes in single-cell dynamics. In this review, we highlight the potential of nanopipette technology as a non-destructive analytical tool to monitor single living cells, with particular attention to integration into applications in molecular biology.

STARSITE Program: Search To Assess Re- sources, Social, Institutional, Technical, and Environmental, toward a decision-making mechanism

NASA Technical Reports Server (NTRS)

1972-01-01

The systems approach was used in the seminar on the complex multidisciplinary problem of housing and related environment conditions. The main areas of study are the following; historical overview of housing; diagrammatic presentation of the problem; technological innovations and contributions; management, economic, legal, and political considerations; environment and natural resources; human needs and behavior; model of the housing industry; and potential for implementation. It is felt that a greater attempt should be made to transfer aerospace technology to the housing industry; however, the emphasis of the conference was directed to the modern management techniques developed by NASA. Among the conclusions are the following: The extent and character of the housing problem should be defined. Increased coordination of housing programs within and between Federal agencies is essential. Development of physically sophisticated building systems requires Federal support. New towns of differing life styles need to be created. Physiological and psychological reactions to environmental enclosure need to be defined.

Assisting autistic children with wireless EOG technology.

PubMed

Rapela, Joaquin; Lin, Tsong-Yan; Westerfield, Marissa; Jung, Tzyy-Ping; Townsend, Jeanne

2012-01-01

We propose a novel intervention to train the speed and accuracy of attention orienting and eye movements in Autism Spectrum Disorder (ASD). Training eye movements and attention could not only affect those important functions directly, but could also result in broader improvement of social communication skills. To this end we describe a system that would allow ASD children to improve their fixation skills while playing a computer game controlled by an eye tracker. Because this intervention will probably be time consuming, this system should be designed to be used at homes. To make this possible, we propose an implementation based on wireless and dry electrooculography (EOG) technology. If successful, this system would develop an approach to therapy that would improve clinical and behavioral function in children and adults with ASD. As our initial steps in this direction, here we describe the design of a computer game to be used in this system, and the predictions of gaze position from EOG data recorded while a subject played this game.

A Study on the Effect of Ageing and Intermetallic Compound Growth on the Shear Strength of Surface Mount Technology Solder Joints

NASA Astrophysics Data System (ADS)

Nath, Jyotishman; Mallik, Sabuj; Borah, Anil

2015-04-01

The effect of ageing and intermetallic compound formation on the surface mount solder joints and its shear strength behavior under extreme mechanical and thermal conditions have been discussed in this paper. The specimens used are solder paste (Sn3.8Ag0.7Cu), bench marker II printed circuit boards (PCB), resistors 1206 and the fabrication of solder joints makes use of conventional surface mount technology (SMT). Reflow process was carried out at a peak temperature of 250 °C and the test samples were exposed to isothermal ageing at a constant temperature of 150 °C for a period of 600 h. Shear test was conducted on the PCB's. The shear strength of the solder joints rapidly increased during isothermal ageing to a certain time period and then started decreasing. Field emission scanning electron microscopy (FESEM) micrograph of the solder joint and energy dispersive X-ray (EDX) was performed on the solder sample to verify the formation of intermetallic compounds.

Virtual reality and robotics for stroke rehabilitation: where do we go from here?

PubMed

Wade, Eric; Winstein, Carolee J

2011-01-01

Promoting functional recovery after stroke requires collaborative and innovative approaches to neurorehabilitation research. Task-oriented training (TOT) approaches that include challenging, adaptable, and meaningful activities have led to successful outcomes in several large-scale multisite definitive trials. This, along with recent technological advances of virtual reality and robotics, provides a fertile environment for furthering clinical research in neurorehabilitation. Both virtual reality and robotics make use of multimodal sensory interfaces to affect human behavior. In the therapeutic setting, these systems can be used to quantitatively monitor, manipulate, and augment the users' interaction with their environment, with the goal of promoting functional recovery. This article describes recent advances in virtual reality and robotics and the synergy with best clinical practice. Additionally, we describe the promise shown for automated assessments and in-home activity-based interventions. Finally, we propose a broader approach to ensuring that technology-based assessment and intervention complement evidence-based practice and maintain a patient-centered perspective.

Putting the brain to work: neuroergonomics past, present, and future.

PubMed

Parasuraman, Raja; Wilson, Glenn F

2008-06-01

The authors describe research and applications in prominent areas of neuroergonomics. Because human factors/ergonomics examines behavior and mind at work, it should include the study of brain mechanisms underlying human performance. Neuroergonomic studies are reviewed in four areas: workload and vigilance, adaptive automation, neuroengineering, and molecular genetics and individual differences. Neuroimaging studies have helped identify the components of mental workload, workload assessment in complex tasks, and resource depletion in vigilance. Furthermore, real-time neurocognitive assessment of workload can trigger adaptive automation. Neural measures can also drive brain-computer interfaces to provide disabled users new communication channels. Finally, variants of particular genes can be associated with individual differences in specific cognitive functions. Neuroergonomics shows that considering what makes work possible - the human brain - can enrich understanding of the use of technology by humans and can inform technological design. Applications of neuroergonomics include the assessment of operator workload and vigilance, implementation of real-time adaptive automation, neuroengineering for people with disabilities, and design of selection and training methods.

Our self-tracking movement and health literacy: are we really making every moment count?

PubMed

Vamos, Sandra; Klein, Klaus

2016-08-03

There is a growing movement related to self-tracking in the quest for better health. Why do so many people like to use 'intelligent tools' like shiny sensors or mobile apps to keep an eye on every move? Do they really help us drive sustained healthy behavioral changes? Despite technological advances and product promises, we must remember that technology alone does not facilitate change to optimize health benefits. The purpose of the commentary is to pose the question: How 'health literate' do we have to be to reap the actionable health benefits of self-tracking? Research has revealed the prevalence of limited health literacy across the globe. Health literacy involves a complex set of inter-connected skills, including acting upon health information. This commentary puts attention on health literacy as an essential human tool to better equip people to overcome barriers and use devices to leverage their full potential. © The Author(s) 2016.

Risky Decision Making in Substance Dependent Adolescents with a Disruptive Behavior Disorder

ERIC Educational Resources Information Center

Schutter, Dennis J. L. G.; van Bokhoven, Irene; Vanderschuren, Louk J. M. J.; Lochman, John E.; Matthys, Walter

2011-01-01

Of all psychiatric disorders, the disruptive behavior disorders (DBDs) are the most likely to predispose to substance dependence (SD). One possible underlying mechanism for this increased vulnerability is risky decision making. The aim of this study was to examine decision making in DBD adolescents with and without SD. Twenty-five DBD adolescents…

The influence of anticipated pride and guilt on pro-environmental decision making.

PubMed

Schneider, Claudia R; Zaval, Lisa; Weber, Elke U; Markowitz, Ezra M

2017-01-01

The present research explores the relationship between anticipated emotions and pro-environmental decision making comparing two differently valenced emotions: anticipated pride and guilt. In an experimental design, we examined the causal effects of anticipated pride versus guilt on pro-environmental decision making and behavioral intentions by making anticipated emotions (i.e. pride and guilt) salient just prior to asking participants to make a series of environmental decisions. We find evidence that anticipating one's positive future emotional state from green action just prior to making an environmental decision leads to higher pro-environmental behavioral intentions compared to anticipating one's negative emotional state from inaction. This finding suggests a rethinking in the domain of environmental and climate change messaging, which has traditionally favored inducing negative emotions such as guilt to promote pro-environmental action. Furthermore, exploratory results comparing anticipated pride and guilt inductions to baseline behavior point toward a reactance eliciting effect of anticipated guilt.

Game theory and neural basis of social decision making

PubMed Central

Lee, Daeyeol

2008-01-01

Decision making in a social group displays two unique features. First, humans and other animals routinely alter their behaviors in response to changes in their physical and social environment. As a result, the outcomes of decisions that depend on the behaviors of multiple decision makers are difficult to predict, and this requires highly adaptive decision-making strategies. Second, decision makers may have other-regarding preferences and therefore choose their actions to improve or reduce the well-beings of others. Recently, many neurobiological studies have exploited game theory to probe the neural basis of decision making, and found that these unique features of social decision making might be reflected in the functions of brain areas involved in reward evaluation and reinforcement learning. Molecular genetic studies have also begun to identify genetic mechanisms for personal traits related to reinforcement learning and complex social decision making, further illuminating the biological basis of social behavior. PMID:18368047

Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity

PubMed Central

Sullivan, Alycia N.; Lachman, Margie E.

2017-01-01

Physical activity is closely linked with health and well-being; however, many Americans do not engage in regular exercise. Older adults and those with low socioeconomic status are especially at risk for poor health, largely due to their sedentary lifestyles. Fitness technology, including trackers and smartphone applications (apps), has become increasingly popular for measuring and encouraging physical activity in recent years. However, many questions remain regarding the effectiveness of this technology for promoting behavior change. Behavior change techniques such as goal setting, feedback, rewards, and social factors are often included in fitness technology. However, it is not clear which components are most effective and which are actually being used by consumers. We discuss additional strategies not typically included in fitness technology devices or apps that are promising for engaging inactive, vulnerable populations. These include action planning, restructuring negative attitudes, enhancing environmental conditions, and identifying other barriers to regular physical activity. We consider which strategies are most conducive to motivating behavior change among sedentary adults. Overall, fitness technology has the potential to significantly impact public health, research, and policies. We suggest ways in which app developers and behavior change experts can collaborate to develop successful apps. Advances are still needed to help inactive individuals determine how, when, where, and with whom they can increase their physical activity. PMID:28123997

The Attitude-Behavior Discrepancy in Medical Decision Making

PubMed Central

He, Fei; Li, Dongdong; Cao, Rong; Zeng, Juli; Guan, Hao

2014-01-01

Background: In medical practice, the dissatisfaction of patients about medical decisions made by doctors is often regarded as the fuse of doctor-patient conflict. However, a few studies have looked at why there are such dissatisfactions. Objectives: This experimental study aimed to explore the discrepancy between attitude and behavior within medical situations and its interaction with framing description. Patients and Methods: A total of 450 clinical undergraduates were randomly assigned to six groups and investigated using the classic medical decision making problem, which was described either in a positive or a negative frame (2) × decision making behavior\\attitude to risky plan\\attitude to conservative plan (3). Results: A discrepancy between attitude and behavior did exist in medical situations. Regarding medical dilemmas, if the mortality rate was described, subjects had a significant tendency to choose a conservative plan (t = 3.55, P < 0.01) yet if the survival rate was described, there was no such preference (t = -1.48, P > 0.05). However, regardless of the plan chosen by the doctor, the subjects had a significant opposing attitude (P < .05). Framing description had a significant impact on both decision making behavior and attitude (t behavior = -3.24, P < 0.01；t attitude to surgery = 4.08，P < 0.01；t attitude to radiation = -2.15，P < 0.05). Conclusions: A discrepancy of attitude-behavior does exist in medical situations. The framing of a description has an impact on medical decision-making. PMID:25763230

What Should We Make with CO 2 and How Can We Make It?

DOE PAGES

Bushuyev, Oleksandr S.; De Luna, Phil; Dinh, Cao Thang; ...

2018-03-29

In this forward-looking Perspective, we discuss the current state of technology and the economics of electrocatalytic transformation of CO 2 into various chemical fuels. Furthermore, our analysis finds that short-chain simple building-block molecules currently present the most economically compelling targets. Making an optimistic prediction of technology advancement in the future, we propose the gradual rise of photocatalytic, CO 2 polymerization, biohybrid, and molecular machine technologies to augment and enhance already practical electrocatalytic CO 2 conversion methods.

Make or Buy: An Analysis of the Impacts of 3D Printing Operations, 3D Laser Scanning Technology, and Collaborative Product Lifecycle Management on Ship Maintenance and Modernization Cost Savings

DTIC Science & Technology

2016-01-30

SPONSORED REPORT SERIES Make or Buy: An Analysis of the Impacts of 3D Printing Operations, 3D Laser Scanning Technology, and Collaborative...Report Series Make or Buy: An Analysis of the Impacts of 3D Printing Operations, 3D Laser Scanning Technology, and Collaborative Product Lifecycle...Application Areas for 3D Printing ........................................................ 36 Figure 15. Potential Applications of 3D

What Should We Make with CO 2 and How Can We Make It?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bushuyev, Oleksandr S.; De Luna, Phil; Dinh, Cao Thang

In this forward-looking Perspective, we discuss the current state of technology and the economics of electrocatalytic transformation of CO 2 into various chemical fuels. Furthermore, our analysis finds that short-chain simple building-block molecules currently present the most economically compelling targets. Making an optimistic prediction of technology advancement in the future, we propose the gradual rise of photocatalytic, CO 2 polymerization, biohybrid, and molecular machine technologies to augment and enhance already practical electrocatalytic CO 2 conversion methods.

Expert system and process optimization techniques for real-time monitoring and control of plasma processes

NASA Astrophysics Data System (ADS)

Cheng, Jie; Qian, Zhaogang; Irani, Keki B.; Etemad, Hossein; Elta, Michael E.

1991-03-01

To meet the ever-increasing demand of the rapidly-growing semiconductor manufacturing industry it is critical to have a comprehensive methodology integrating techniques for process optimization real-time monitoring and adaptive process control. To this end we have accomplished an integrated knowledge-based approach combining latest expert system technology machine learning method and traditional statistical process control (SPC) techniques. This knowledge-based approach is advantageous in that it makes it possible for the task of process optimization and adaptive control to be performed consistently and predictably. Furthermore this approach can be used to construct high-level and qualitative description of processes and thus make the process behavior easy to monitor predict and control. Two software packages RIST (Rule Induction and Statistical Testing) and KARSM (Knowledge Acquisition from Response Surface Methodology) have been developed and incorporated with two commercially available packages G2 (real-time expert system) and ULTRAMAX (a tool for sequential process optimization).

Students academic performance based on behavior

NASA Astrophysics Data System (ADS)

Maulida, Juwita Dien; Kariyam

2017-12-01

Utilization of data in an information system that can be used for decision making that utilizes existing data warehouse to help dig useful information to make decisions correctly and accurately. Experience API (xAPI) is one of the enabling technologies for collecting data, so xAPI can be used as a data warehouse that can be used for various needs. One software application whose data is collected in xAPI is LMS. LMS is a software used in an electronic learning process that can handle all aspects of learning, by using LMS can also be known how the learning process and the aspects that can affect learning achievement. One of the aspects that can affect the learning achievement is the background of each student, which is not necessarily the student with a good background is an outstanding student or vice versa. Therefore, an action is needed to anticipate this problem. Prediction of student academic performance using Naive Bayes algorithm obtained accuracy of 67.7983% and error 32.2917%.

The Cognitive Domain. Contributions of Behavioral Science to Instructional Technology. Number Two. A Resource Book for Media Specialists.

ERIC Educational Resources Information Center

National Special Media Institutes.

The five papers which comprise this volume share a common interest in the relationship of the problems of instructional technology to the insights of the behavioral sciences. The first chapter is concerned with the applications of present knowledge and empirical methodology to the solution of particular behavioral problems, an activity that…

Intelligent Maintenance Training Technology

DTIC Science & Technology

1988-03-31

Psychology Knowledge Systems Laboratory University of California Stanford University Berkeley, CA 94720 701 Welch Road Palo Alto, CA 94304 Dr. Milton S ...David S . Surmon James Wogulis 0 Behavioral Technology Laboratories Department of Psychology University of Southern California Sponsored by Office of...Munro Quentin A. Pizzini David S . Surmon James Wogulis March 1988 U Technical Report No. 110 Behavioral Technology Laboratories University of Southern

Empirical Testing of a Theoretical Extension of the Technology Acceptance Model: An Exploratory Study of Educational Wikis

ERIC Educational Resources Information Center

Liu, Xun

2010-01-01

This study extended the technology acceptance model and empirically tested the new model with wikis, a new type of educational technology. Based on social cognitive theory and the theory of planned behavior, three new variables, wiki self-efficacy, online posting anxiety, and perceived behavioral control, were added to the original technology…

Understanding Risky Behavior: The Influence of Cognitive, Emotional and Hormonal Factors on Decision-Making under Risk.

PubMed

Kusev, Petko; Purser, Harry; Heilman, Renata; Cooke, Alex J; Van Schaik, Paul; Baranova, Victoria; Martin, Rose; Ayton, Peter

2017-01-01

Financial risky decisions and evaluations pervade many human everyday activities. Scientific research in such decision-making typically explores the influence of socio-economic and cognitive factors on financial behavior. However, very little research has explored the holistic influence of contextual, emotional, and hormonal factors on preferences for risk in insurance and investment behaviors. Accordingly, the goal of this review article is to address the complexity of individual risky behavior and its underlying psychological factors, as well as to critically examine current regulations on financial behavior.

Understanding Risky Behavior: The Influence of Cognitive, Emotional and Hormonal Factors on Decision-Making under Risk

PubMed Central

Kusev, Petko; Purser, Harry; Heilman, Renata; Cooke, Alex J.; Van Schaik, Paul; Baranova, Victoria; Martin, Rose; Ayton, Peter

2017-01-01

Financial risky decisions and evaluations pervade many human everyday activities. Scientific research in such decision-making typically explores the influence of socio-economic and cognitive factors on financial behavior. However, very little research has explored the holistic influence of contextual, emotional, and hormonal factors on preferences for risk in insurance and investment behaviors. Accordingly, the goal of this review article is to address the complexity of individual risky behavior and its underlying psychological factors, as well as to critically examine current regulations on financial behavior. PMID:28203215

Economic considerations for social distancing and behavioral based policies during an epidemic

PubMed Central

Fenichel, Eli P.

2013-01-01

Public policies intended to induce behavioral change, specifically incentives to reduce interpersonal contacts or to “social distance,” increasingly play a prominent role in public disease response strategies as governments plan for and respond to major epidemics. I compare social distancing incentives and outcomes under decentralized, full control social planner, and constrained social planner, without health class specific control, decision making scenarios. Constrained social planner decision making, based on non-health class specific controls, can in some instances make society worse off than decentralized decision making (i.e. no intervention). The oft neglected behavior of recovered and immune individuals is important for welfare and health outcomes. PMID:23419635

Middle and Later Stone Age chronology of Kisese II rockshelter (UNESCO World Heritage Kondoa Rock-Art Sites), Tanzania.

PubMed

Tryon, Christian A; Lewis, Jason E; Ranhorn, Kathryn L; Kwekason, Amandus; Alex, Bridget; Laird, Myra F; Marean, Curtis W; Niespolo, Elizabeth; Nivens, Joelle; Mabulla, Audax Z P

2018-01-01

The archaeology of East Africa during the last ~65,000 years plays a central role in debates about the origins and dispersal of modern humans, Homo sapiens. Despite the historical importance of the region to these discussions, reliable chronologies for the nature, tempo, and timing of human behavioral changes seen among Middle Stone Age (MSA) and Later Stone Age (LSA) archaeological assemblages are sparse. The Kisese II rockshelter in the Kondoa region of Tanzania, originally excavated in 1956, preserves a ≥ 6-m-thick archaeological succession that spans the MSA/LSA transition, with lithic artifacts such as Levallois and bladelet cores and backed microliths, the recurrent use of red ochre, and >5,000 ostrich eggshell beads and bead fragments. Twenty-nine radiocarbon dates on ostrich eggshell carbonate make Kisese II one of the most robust chronological sequences for understanding archaeological change over the last ~47,000 years in East Africa. In particular, ostrich eggshell beads and backed microliths appear by 46-42 ka cal BP and occur throughout overlying Late Pleistocene and Holocene strata. Changes in lithic technology suggest an MSA/LSA transition that began 39-34.3 ka, with typical LSA technologies in place by the Last Glacial Maximum. The timing of these changes demonstrates the time-transgressive nature of behavioral innovations often linked to the origins of modern humans, even within a single region of Africa.