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Rich Context Information for Just-In-Time Adaptive Intervention promoting physical activity

机译:用于促进身体活动的即时适应性干预的丰富上下文信息

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Sedentary lifestyle and inadequate levels of physical activity represent two serious health risk factors. Nevertheless, within developed countries, 60% of people aged over 60 are deemed to be sedentary. Consequently, interest in behavior change to promote physical activity is increasing. In particular, the role of emerging mobile apps to facilitate behavior change has shown promising results. Smart technologies can help in providing rich context information including an objective assessment of the level of physical activity and information on the emotional and physiological state of the person. Collectively, this can be used to develop innovative persuasive solutions for adaptive behavior change. Such solutions offer potential in reducing levels of sedentary behavior. This work presents a study exploring new ways of employing smart technologies to facilitate behavior change. It is achieved by means of (i) developing a knowledge base on sedentary behaviors and recommended physical activity guidelines, and (ii) a context model able to combine information on physical activity, location, and a user's diary to develop a context-aware virtual coach with the ability to select the most appropriate behavior change strategy on a case by case basis.
机译:久坐的生活方式和身体活动水平不足代表了两个严重的健康风险因素。然而,在发达国家,60%以上的人被认为是久坐的60%。因此,对行为的兴趣改变以促进身体活动正在增加。特别是,新兴移动应用程序促进行为变化的作用表明了有希望的结果。智能技术可以帮助提供丰富的上下文信息,包括对人类情绪和生理状况的物理活动水平的客观评估。统称,这可用于开发创新的说服性解决方案,以便进行自适应行为改变。这种解决方案提供降低久坐行为水平的潜力。这项工作提出了一项研究探索了采用智能技术的新方法,以促进行为变革。通过(i)开发久坐行为的知识库和建议的物理活动指南,以及(ii)能够将关于物理活动,位置和用户日记的信息组合的上下文模型来开发上下文信息,以开发上下文感知虚拟教练能够在案例基础上选择最合适的行为改变策略。

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