FitRank — Social app to combat physical inactivity study of the use of fitness social apps on Facebook's users profiles

Fábio Paschoal, N. Ebecken, Gabriel Vinicius Silva Ribeiro, Leandro Moniz de Aragão Daquer, R. Mauro, E. Ogasawara
{"title":"FitRank — Social app to combat physical inactivity study of the use of fitness social apps on Facebook's users profiles","authors":"Fábio Paschoal, N. Ebecken, Gabriel Vinicius Silva Ribeiro, Leandro Moniz de Aragão Daquer, R. Mauro, E. Ogasawara","doi":"10.23919/CISTI.2017.7975688","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":345129,"journal":{"name":"2017 12th Iberian Conference on Information Systems and Technologies (CISTI)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th Iberian Conference on Information Systems and Technologies (CISTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/CISTI.2017.7975688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
FitRank——一款对抗缺乏运动的社交应用,研究了Facebook用户档案中健身社交应用的使用情况
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cybersecurity culture in Portuguese organizations: An exploratory analysis mHealth initiatives in Portugal The application of real options as a tool for decision-making in the electricity market Data bases available through APIs using Restify: Characteristics, programming models, and benchmarks A decision support system for corporations cybersecurity management
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1