Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States.

Mohamed El Mistiri, Daniel E Rivera, Predrag Klasnja, Junghwan Park, Eric Hekler
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引用次数: 1

Abstract

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.

改进社会认知理论动态建模与仿真以改进“及时”状态的估计。
身体活动不足(PA)在社会上很普遍,尽管它对个人健康和福祉有重大影响。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力学的理解。在本文中,我们依靠社会认知理论(SCT)的动态模型来获得关于行为干预改善PA的面向控制的实验设计的见解。干预(Just Walk JITAI)的设计目的是基于“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。采用一种创新的输入信号设计策略,通过基于需求、机会和可接受性条件的决策规则来研究实时状态动力学。模型模拟具有日内效应,用于评估输入信号的有效性。提出了依从性和非依从性参与者的场景,所提出的实验设计显示了减少通知负担的巨大潜力,同时提供了信息数据,以支持未来的系统识别和控制设计工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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