Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research
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Adverse and suboptimal health behaviors and habits are responsible for approximately 40 % of preventable deaths, in addition to their unfavorable effects on quality of life and economics. Our current understanding of human behavior is largely based on static “snapshots” of human behavior, rather than ongoing, dynamic feedback loops of behavior in response to ever-changing biological, social, personal, and environmental states. This paper first discusses how new technologies (i.e., mobile sensors, smartphones, ubiquitous computing, and cloud-enabled processing/computing) and emerging systems modeling techniques enable the development of new, dynamic, and empirical models of human behavior that could facilitate just-in-time adaptive, scalable interventions. The paper then describes concrete steps to the creation of robust dynamic mathematical models of behavior including: (1) establishing “gold standard” measures, (2) the creation of a behavioral ontology for shared language and understanding tools that both enable dynamic theorizing across disciplines, (3) the development of data sharing resources, and (4) facilitating improved sharing of mathematical models and tools to support rapid aggregation of the models. We conclude with the discussion of what might be incorporated into a “knowledge commons,” which could help to bring together these disparate activities into a unified system and structure for organizing knowledge about behavior.
KeywordsMobile health mHealth Connected health Health-related behavior Just-in-time adaptive interventions Real-time interventions Computational models of behavior
This project was funded by the National Science Foundation (CISE IIS-1217464)
We would like to thank participants in the workshop that led to this publication: Jaakko Aarnio, Katerina Martin Abello, René van Bavel, Christina Botella, Niels Boye, Célia Boyer, Marientina Gotsis, Loukianos Gatzoulis, Ross Hammond, Jimi Huh, Holly Brugge Jimison, Pamela Kato, Outi Kenttä, Joni Kettunen, Pedrag Klasnja, Heidi Lehtonen, James Lester, Elina Mattila, Teresa Meneu, Robin Mermelstien, Hannu Nieminen, Ana Paiva, Brigitte Piniewski, Andrew Raij, and Petra Wilson.
Conflict of interest
Donna Spruijt-Metz, Eric Hekler, Niilo Saranummi, Stephen Intille, Ilkka Korhonen, Wendy Nilsen, Daniel E. Rivera, Bonnie Spring, Susan Michie, David A. Asch, Alberto Sanna, Vicente Traver Salcedo, Rita Kukakfa, and Misha Pavel have no conflict of interest to report.
Adherence to ethical principles
This paper reflects discussions and documents developed for the International Workshop on New Computationally-Enabled Theoretical Models to Support Health Behavior Change and Maintenance, October 16–17, 2012, Brussels. All materials can be found here http://www.behaviorchange.ca. There were no human subjects involved.
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