Viewpoint Paper: Healthy Living with Persuasive Technologies: Framework, Issues, and Challenges

While our Y2K worries about old computers "retiring" at midnight captured the television and news media attention, a more significant "old age" phenomenon snuck onto the scene with hardly a headline: the dawn of the age of the aged. (1) The over burdened health care system will face a worldwide wave of retirees who will live longer, cost more to treat, and demand new goods and services to help them stay healthy, active, and independent. Research in persuasive technologies and the associated usage of a computing system, device, or application intentionally designed to change a person's attitude or behavior in a predetermined way is showing the potential to assist in improving healthy living, reduce the costs on the health care system, and allow the aged to maintain a more independent life. This article gives a deeper insight into the evolution of persuasive technologies and presents a framework that can guide a researcher or practitioner in comprehending more effectively the work being done in this novel research field. It also provides categories of domains within health care in which these technologies are used and surveys exemplars from published literature. The article's goal is to provide greater understanding by addressing the challenges that lie ahead for all key stakeholders that design and/or use persuasive technologies in health care.

[1]  Bryant T Karras,et al.  Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends , 2005, Journal of medical Internet research.

[2]  W. Riley,et al.  College Smoking-Cessation Using Cell Phone Text Messaging , 2004, Journal of American college health : J of ACH.

[3]  Gourab Sen Gupta,et al.  Wireless Sensors for Home Monitoring - A Review , 2008 .

[4]  Vincent M. Stanford,et al.  Biosignals offer potential for direct interfaces and health monitoring , 2004, IEEE Pervasive Computing.

[5]  W. Kroeze,et al.  A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors , 2006, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[6]  Christopher G. Atkeson,et al.  Predicting human interruptibility with sensors , 2005, TCHI.

[7]  Datong Chen,et al.  Detecting social interactions of the elderly in a nursing home environment , 2007, TOMCCAP.

[8]  Terry Winograd,et al.  Bringing Design to Software , 1996 .

[9]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[10]  D. Ary,et al.  The effectiveness of an interactive multimedia program to influence eating habits. , 2004, Health education research.

[11]  Brenda Laurel,et al.  Design Research: Methods and Perspectives , 2003 .

[12]  J. S. Sodhi,et al.  Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial , 2007, Journal of medical Internet research.

[13]  W. Crano,et al.  Attitudes and persuasion. , 2006, Annual review of psychology.

[14]  Leslie Lenert,et al.  Research Paper: Automated E-mail Messaging as a Tool for Improving Quit Rates in an Internet Smoking Cessation Intervention , 2004, J. Am. Medical Informatics Assoc..

[15]  Sheikh Iqbal Ahamed,et al.  Wellness assistant: a virtual wellness assistant using pervasive computing , 2007, SAC '07.

[16]  Fenguangzhai Song.  CD , 1992 .

[17]  Robert H. Friedman,et al.  Synthesis of Research: The Virtual Visit: Using Telecommunications Technology to Take Care of Patients , 1997, J. Am. Medical Informatics Assoc..

[18]  Stephen S. Intille,et al.  A new research challenge: persuasive technology to motivate healthy aging , 2004, IEEE Transactions on Information Technology in Biomedicine.

[19]  Janice Baranowski,et al.  Squire's Quest! Dietary outcome evaluation of a multimedia game. , 2003, American journal of preventive medicine.

[20]  Serhan Dagtas,et al.  An integrated wireless sensing and mobile processing architecture for assisted living and healthcare applications , 2007, HealthNet '07.

[21]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[22]  J. Piette,et al.  Impact of automated calls with nurse follow-up on diabetes treatment outcomes in a Department of Veterans Affairs Health Care System: a randomized controlled trial. , 2001, Diabetes care.

[23]  R. Winett,et al.  Using Internet technology to deliver a behavioral weight loss program. , 2001, JAMA.

[24]  Toomas Timpka,et al.  The potential of smart homes for injury prevention among the elderly , 2002, Injury control and safety promotion.

[25]  Aleksandar Milenkovic,et al.  Journal of Neuroengineering and Rehabilitation Open Access a Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation , 2005 .

[26]  Daniel Berdichevsky,et al.  Toward an ethics of persuasive technology , 1999, CACM.