Spruijt-Metz, D;
Hekler, E;
Saranummi, N;
Intille, S;
Korhonen, I;
Nilsen, W;
Rivera, DE;
... Pavel, M; + view all
(2015)
Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.
Translational Behavioral Medicine
, 5
(3)
pp. 335-346.
10.1007/s13142-015-0324-1.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s13142-015-0324-1 |
| Publisher version: | http://dx.doi.org/10.1007/s13142-015-0324-1 |
| Language: | English |
| Additional information: | The final publication is available at Springer via http://dx.doi.org/10.1007/s13142-015-0324-1. |
| Keywords: | Computational models of behavior, Connected health, Health-related behavior, Just-in-time adaptive interventions, Mobile health, Real-time interventions, mHealth |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1471938 |
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