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

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

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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。
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