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首页> 外文会议>International conference on human-computer interaction;International conference on social computing and social media >Stay Connected and Keep Motivated: Modeling Activity Level of Exercise in an Online Fitness Community
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Stay Connected and Keep Motivated: Modeling Activity Level of Exercise in an Online Fitness Community

机译：保持联系并保持动力：在线健身社区中锻炼的活动水平建模

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摘要

Recent years have witnessed a growing popularity of activity tracking applications. Previously work has focused on three major types of social interaction features in such applications: cooperation, competition and community. Such features motivate users to be more active in exercise and stay within the track of positive behavior change. Online fitness communities such as Strava encourage users to connect to peers and provide a rich set of social interaction features. Utilizing a large-scale behavioral trace data set, this work aims to analyze the dynamics of online fitness behaviors and network subscription as well as the relationship between them. Our results indicate that activeness of fitness behaviors not only has seasonal variations, but also vary by user group and how well users are connected in an online fitness community. These results provide important implications for studies on network-based health and design of application features for health promotion.
机译：近年来，活动跟踪应用程序日益普及。以前的工作集中在此类应用程序中的三种主要类型的社交交互功能上：合作，竞争和社区。这些功能可以激励用户更加积极地锻炼身体，并留在积极行为改变的轨道上。 Strava等在线健身社区鼓励用户与同龄人建立联系，并提供丰富的社交互动功能。利用大规模的行为跟踪数据集，这项工作旨在分析在线健身行为和网络订阅的动态以及它们之间的关系。我们的结果表明，健身行为的活跃性不仅具有季节性变化，而且还随用户组和用户在在线健身社区中的联系程度而变化。这些结果为基于网络的健康研究和健康促进应用功能设计提供了重要的启示。

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