SIGCHI: Magic Mirror - Embodied Interactions for the Quantified Self

Hariharan Subramonyam
{"title":"SIGCHI: Magic Mirror - Embodied Interactions for the Quantified Self","authors":"Hariharan Subramonyam","doi":"10.1145/2702613.2732884","DOIUrl":null,"url":null,"abstract":"Over the past few years, there has been a tremendous advancement in fitness tracking systems such as pedometers and heart rate monitors; and collecting and interacting with personal health or wellness data, is a growing research topic within the Human Computer Interaction (HCI) community. While fitness tracking systems have advanced into on-body sensing modalities, the process of data reporting and intervention is still largely done through mobile and web applications, using traditional methods of data visualization such as graphs and charts. This has resulted in a disconnect between data and its context. This work-in-progress, \"Magic Mirror\", explores how to retrieve and visualize health data using the body as a reference frame.","PeriodicalId":142786,"journal":{"name":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2702613.2732884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Over the past few years, there has been a tremendous advancement in fitness tracking systems such as pedometers and heart rate monitors; and collecting and interacting with personal health or wellness data, is a growing research topic within the Human Computer Interaction (HCI) community. While fitness tracking systems have advanced into on-body sensing modalities, the process of data reporting and intervention is still largely done through mobile and web applications, using traditional methods of data visualization such as graphs and charts. This has resulted in a disconnect between data and its context. This work-in-progress, "Magic Mirror", explores how to retrieve and visualize health data using the body as a reference frame.
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
SIGCHI:魔镜-量化自我的具体化互动
在过去的几年里,健身追踪系统有了巨大的进步,比如计步器和心率监测器;收集个人健康或健康数据并与之交互,是人机交互(HCI)社区中一个日益增长的研究课题。虽然健身追踪系统已经发展到身体感应模式,但数据报告和干预的过程仍然主要通过移动和网络应用程序完成,使用传统的数据可视化方法,如图形和图表。这导致了数据与其上下文之间的脱节。这项正在进行的工作,“魔镜”,探索如何检索和可视化健康数据使用身体作为参考框架。
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
PicLight: User-Centered Lighting Control Interface for Residential Space Sketching User Experiences: The Hands-on Course Utilizing the Effects of Priming to Facilitate Text Comprehension Reimagining Digital Fabrication as Performance Art User Eye Fatigue Detection via Eye Movement Behavior
×
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