Fábio Paschoal, N. Ebecken, Gabriel Vinicius Silva Ribeiro, Leandro Moniz de Aragão Daquer, R. Mauro, E. Ogasawara
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Their innovation is to group in a same ranking users of eleven SA physical activity monitoring, allowing a greater socialization among them and a greater motivation to practice sports and combat sedentary lifestyle, stimulating its users to a change of behavior for a life healthier. FitRank works with the concept of gamification like a social competition for healthy behavior. It is an integral part of an ongoing PhD thesis that will mining extracted data to compose the Behavioral User Pattern (BUP) in relation to its practice of physical activities, such as the goal of correlating healthy habits with practice of physical activities, in addition to predict the healthy behavior of the user, with the motivation of using Facebook. 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引用次数: 1
摘要
SA (Social Applications)与OSN (Online Social Networks)集成,既可以在OSN中创建丰富的共享内容,又可以对OSN中共享的数据进行提取和挖掘。这项工作提出了FitRank SA,该公司为Facebook上的共享体育活动创建了可定制的排名,可能有多达60种不同的排名类型。它提取了大多数SA体育活动监测共享的活动数据,并允许用户在Facebook个人资料中分享他们的排名。他们的创新之处在于将11个SA的体育活动监测用户分组在一个相同的排名中,允许他们之间更大的社交,更大的动力去锻炼体育和对抗久坐不动的生活方式,刺激用户改变行为,过上更健康的生活。FitRank将游戏化的概念作为健康行为的社会竞争。这是正在进行的博士论文的一个组成部分,该论文将挖掘提取的数据,以组成与其体育活动实践相关的行为用户模式(BUP),例如将健康习惯与体育活动实践相关联的目标,以及预测用户的健康行为,以及使用Facebook的动机。在本文中,介绍了使用FitRank的初步结果,包括社会人口统计信息以及用户执行体育活动的情况。
FitRank — Social app to combat physical inactivity study of the use of fitness social apps on Facebook's users profiles
Social Applications (SA) work in an integrated way with the Online Social Networks (OSN) and allow both the creation of rich contents to share in the OSN as well as the extraction and mining of the data shared in the OSN. This work presents FitRank SA, which creates customizable rankings of shared physical activity on Facebook, with the possibility of up to 60 variations of rankings types. It extracts the data of activities shared by most SA physical activity monitoring, as well as allows the user to share their rankings in their Facebook profile. Their innovation is to group in a same ranking users of eleven SA physical activity monitoring, allowing a greater socialization among them and a greater motivation to practice sports and combat sedentary lifestyle, stimulating its users to a change of behavior for a life healthier. FitRank works with the concept of gamification like a social competition for healthy behavior. It is an integral part of an ongoing PhD thesis that will mining extracted data to compose the Behavioral User Pattern (BUP) in relation to its practice of physical activities, such as the goal of correlating healthy habits with practice of physical activities, in addition to predict the healthy behavior of the user, with the motivation of using Facebook. In this paper, the preliminary results of the use of FitRank, with sociodemographic information and also the execution of physical activities by its users, are presented.