μEMA: Microinteraction-based Ecological Momentary Assessment (EMA) Using a Smartwatch.

Stephen Intille, Caitlin Haynes, Dharam Maniar, Aditya Ponnada, Justin Manjourides
{"title":"μEMA: Microinteraction-based Ecological Momentary Assessment (EMA) Using a Smartwatch.","authors":"Stephen Intille, Caitlin Haynes, Dharam Maniar, Aditya Ponnada, Justin Manjourides","doi":"10.1145/2971648.2971717","DOIUrl":null,"url":null,"abstract":"<p><p>Ecological Momentary Assessment (EMA) is a method of <i>in situ</i> data collection for assessment of behaviors, states, and contexts. Questions are prompted during everyday life using an individual's mobile device, thereby reducing recall bias and increasing validity over other self-report methods such as retrospective recall. We describe a microinteraction-based EMA method (\"micro\" EMA, or μEMA) using smartwatches, where all EMA questions can be answered with a quick glance and a tap - nearly as quickly as checking the time on a watch. A between-subjects, 4-week pilot study was conducted where μEMA on a smartwatch (n=19) was compared with EMA on a phone (n=14). Despite an ≈8 times increase in the number of interruptions, μEMA had a significantly higher compliance rate, completion rate, and first prompt response rate, and μEMA was perceived as less distracting. The temporal density of data collection possible with μEMA could prove useful in ubiquitous computing studies.</p>","PeriodicalId":90688,"journal":{"name":"Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference)","volume":"2016 ","pages":"1124-1128"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143290/pdf/nihms-986823.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2971648.2971717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Ecological Momentary Assessment (EMA) is a method of in situ data collection for assessment of behaviors, states, and contexts. Questions are prompted during everyday life using an individual's mobile device, thereby reducing recall bias and increasing validity over other self-report methods such as retrospective recall. We describe a microinteraction-based EMA method ("micro" EMA, or μEMA) using smartwatches, where all EMA questions can be answered with a quick glance and a tap - nearly as quickly as checking the time on a watch. A between-subjects, 4-week pilot study was conducted where μEMA on a smartwatch (n=19) was compared with EMA on a phone (n=14). Despite an ≈8 times increase in the number of interruptions, μEMA had a significantly higher compliance rate, completion rate, and first prompt response rate, and μEMA was perceived as less distracting. The temporal density of data collection possible with μEMA could prove useful in ubiquitous computing studies.

Abstract Image

Abstract Image

Abstract Image

μEMA:使用智能手表进行基于微观互动的生态瞬时评估(EMA)。
生态瞬时评估(EMA)是一种现场数据收集方法,用于评估行为、状态和环境。在日常生活中,使用个人的移动设备会提示问题,从而减少回忆偏见,并提高其他自我报告方法(如回顾性回忆)的有效性。我们描述了一种使用智能手表的基于微交互的EMA方法(“微”EMA,或μEMA),其中所有EMA问题都可以通过快速浏览和点击来回答,几乎与查看手表上的时间一样快。进行了一项为期4周的受试者间试点研究,将智能手表(n=19)上的μEMA与手机(n=14)上的EMA进行了比较。尽管中断次数增加了≈8倍,但μEMA的依从率、完成率和第一反应率明显更高,μEMA被认为不那么分散注意力。μEMA可能的数据收集的时间密度可能在泛在计算研究中被证明是有用的。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信