El Mistiri Mohamed, Rivera Daniel E, Klasnja Predrag, Park Junghwan, Hekler Eric
Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.
Division of Biomedical and Health Informatics, School of Information, University of Michigan, Ann Arbor, MU 48109 USA.
Proc Am Control Conf. 2022 Jun;2022:468-473. doi: 10.23919/acc53348.2022.9867493. Epub 2022 Sep 5.
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 () 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.
尽管缺乏体育活动（PA）对个人健康和幸福有重大影响，但在社会中却很常见。显然需要改进干预措施。行为干预面临的挑战之一是缺乏对多时间尺度动态的理解。在本文中，我们依靠社会认知理论（SCT）的动态模型，以深入了解旨在改善PA的行为干预的面向控制的实验设计。干预措施（）的设计旨在基于“及时”状态的概念更好地理解和估计干预和支持的理想时间。一种创新的输入信号设计策略用于通过基于需求、机会和接受性条件的决策规则来研究及时状态动态。具有日内效应的模型模拟用于评估输入信号的有效性。给出了依从性和非依从性参与者的情景，所提出的实验设计显示出在减轻通知负担的同时提供信息性数据以支持未来系统识别和控制设计工作的巨大潜力。
