Intille Stephen, Haynes Caitlin, Maniar Dharam, Ponnada Aditya, Manjourides Justin
Northeastern University, Boston, MA.
Proc ACM Int Conf Ubiquitous Comput. 2016 Sep;2016:1124-1128. doi: 10.1145/2971648.2971717.
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.
生态瞬时评估(EMA)是一种用于评估行为、状态和情境的数据收集方法。通过个体的移动设备在日常生活中提示问题,从而减少回忆偏差,并比其他自我报告方法(如回顾性回忆)具有更高的效度。我们描述了一种基于微交互的EMA方法(“微”EMA,或μEMA),该方法使用智能手表,所有EMA问题都可以通过快速 glance 和点击来回答——几乎与查看手表时间一样快。进行了一项为期4周的受试者间试点研究,将智能手表上的μEMA(n = 19)与手机上的EMA(n = 14)进行比较。尽管中断次数增加了约8倍,但μEMA的依从率、完成率和首次提示响应率显著更高,并且μEMA被认为干扰性更小。μEMA可能实现的数据收集时间密度在普适计算研究中可能会被证明是有用的。