TY - JOUR A2 - Rebaudengo, Maurizio AU - Baretta, Dario AU - Sartori, Fabio AU - Greco, Andrea AU - D’Addario, Marco AU - Melen, Riccardo AU - Steca, Patrizia PY - 2019 DA - 2019/03/04 TI - Improving Physical Activity mHealth Interventions: Development of a Computational Model of Self-Efficacy Theory to Define Adaptive Goals for Exercise Promotion SP - 3068748 VL - 2019 AB - The practice of regular physical exercise is a protective factor against noncommunicable diseases and premature mortality. In spite of that, large part of the population does not meet physical activity guidelines and many individuals live a sedentary life. Recent technological progresses and the widespread adoption of mobile technology, such as smartphone and wearables, have opened the way to the development of digital behaviour change interventions targeting physical activity promotion. Such interventions would greatly benefit from the inclusion of computational models framed on behaviour change theories and model-based reasoning. However, research on these topics is still at its infancy. The current paper presents a smartphone application and wearable device system called Muoviti！这为成年人之间的身体活动促进而无法满足推荐的身体活动准则。具体而言，我们提出了一种行为改变的计算模型，基于社会认知理论的自我效能。计算模型的目的是动态地整合指责个人的自我效能信念和身体活动行为的信息，以便定义适应个人随着时间的变化的运动目标。本文提出了（i）了解计算模型的发展的理论构建，（ii）概述 Muoviti！描述系统动态，图形用户界面，采用的措施和干预设计，以及（iii）基于动态决策网络的计算模型。我们通过呈现实验研究的早期结果来得出结论。SN - 1687-5893 UR - https://doi.org/10.1155/2019/3068748 Do - 10.1155/2019/3068748 JF - 人机互动PB - Hindawi KW - ER -