Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States.
| Autor: | El Mistiri M; Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA., Rivera DE; Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA., Klasnja P; Division of Biomedical and Health Informatics, School of Information, University of Michigan, Ann Arbor, MU 48109 USA., Park J; Center for Wireless & Population Health Systems, Univeristy of California, San Diego (UCSD), La Jolla, CA 92093 USA., Hekler E; Center for Wireless & Population Health Systems, Univeristy of California, San Diego (UCSD), La Jolla, CA 92093 USA. |
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| Jazyk: | angličtina |
| Zdroj: | Proceedings of the ... American Control Conference. American Control Conference [Proc Am Control Conf] 2022 Jun; Vol. 2022, pp. 468-473. Date of Electronic Publication: 2022 Sep 05. |
| DOI: | 10.23919/acc53348.2022.9867493 |
| Abstrakt: | Insufficient physical activity (PA) is commonplace in society, in spite of its significant impact on personal health and well-being. Improved interventions are clearly needed. One of the challenges faced in behavioral interventions is a lack of understanding of multi-timescale dynamics. In this paper we rely on a dynamical model of Social Cognitive Theory (SCT) to gain insights regarding a control-oriented experimental design for a behavioral intervention to improve PA. The intervention ( Just Walk JITAI ) is designed with the aim to better understand and estimate ideal times for intervention and support based on the concept of "just-in-time" states. An innovative input signal design strategy is used to study the just-in-time state dynamics through the use of decision rules based on conditions of need, opportunity and receptivity. Model simulations featuring within-day effects are used to assess input signal effectiveness. Scenarios for adherent and non-adherent participants are presented, with the proposed experimental design showing significant potential for reducing notification burden while providing informative data to support future system identification and control design efforts. |
| Databáze: | MEDLINE |
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