Effect of Values and Technology Use on Exercise: Implications for Personalized Behavior Change Interventions

Yelena Mejova, Kyriaki Kalimeri
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引用次数: 13

Abstract

Technology has recently been recruited in the war against the ongoing obesity crisis; however, the adoption of Health & Fitness applications for regular exercise is a struggle. In this study, we present a unique demographically representative dataset of 15k US residents that combines technology use logs with surveys on moral views, human values, and emotional contagion. Combining these data, we provide a holistic view of individuals to model their physical exercise behavior. First, we show which values determine the adoption of Health & Fitness mobile applications, finding that users who prioritize the value of purity and de-emphasize values of conformity, hedonism, and security are more likely to use such apps. Further, we achieve a weighted AUROC of .673 in predicting whether individual exercises, and we also show that the application usage data allows for substantially better classification performance (.608) compared to using basic demographics (.513) or internet browsing data (.546). We also find a strong link of exercise to respondent socioeconomic status, as well as the value of happiness. Using these insights, we propose actionable design guidelines for persuasive technologies targeting health behavior modification.
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价值观和技术使用对运动的影响:对个性化行为改变干预的启示
最近,科技被用于对抗持续的肥胖危机;然而,采用健康和健身应用程序进行定期锻炼是一件困难的事情。在这项研究中,我们提出了一个独特的具有人口代表性的数据集,其中包括1.5万名美国居民,该数据集将技术使用日志与道德观、人类价值观和情绪感染的调查相结合。结合这些数据,我们提供了个人的整体视图,以模拟他们的体育锻炼行为。首先,我们展示了哪些价值观决定了健康和健身移动应用程序的采用,发现优先考虑纯度价值和不强调一致性,享乐主义和安全价值的用户更有可能使用此类应用程序。此外,我们在预测个人是否锻炼方面获得了0.673的加权AUROC,并且我们还表明,与使用基本人口统计数据(.513)或互联网浏览数据(.546)相比,应用程序使用数据允许更好的分类性能(.608)。我们还发现,锻炼与受访者的社会经济地位以及幸福的价值有很强的联系。利用这些见解,我们为针对健康行为改变的说服性技术提出了可操作的设计指南。
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