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

作者信息

Intille Stephen, Haynes Caitlin, Maniar Dharam, Ponnada Aditya, Manjourides Justin

机构信息

Northeastern University, Boston, MA.

出版信息

Proc ACM Int Conf Ubiquitous Comput. 2016 Sep;2016:1124-1128. doi: 10.1145/2971648.2971717.


DOI:10.1145/2971648.2971717
PMID:30238088
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6143290/
Abstract

Ecological Momentary Assessment (EMA) is a method of 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.

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