ReVibe: A Context-assisted Evening Recall Approach to Improve Self-report Adherence.
ReVibe: A Context-assisted Evening Recall Approach to Improve Self-report Adherence.
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Revibe：一种由上下文辅助的晚间召回方法，以提高自我报告的依从性。
DOI：
10.1145/3369806
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发表时间：
2019-12
影响因子：
--
通讯作者：
Murphy S
中科院分区：
文献类型：
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作者：
Rabbi M;Li K;Yan HY;Hall K;Klasnja P;Murphy S
除了被动传感，生态瞬时评估（EMA）是无处不在的计算和移动的健康中收集即时数据的主要方法之一。虽然EMA具有召回偏差低的优点，但缺点是它们经常打断用户，因此长期依从性通常很差。在本文中，我们提出了一种破坏性较小的自我报告方法，“辅助回忆”，在晚上，人们被要求回答有关一天早些时候的问题，并辅之以上下文信息，如位置，身体活动和周围的声音收集的时刻被召回。这种上下文信息是从电话传感器数据中自动收集的，因此自我报告不需要智能手机以外的设备。我们假设，基于这种自动收集的上下文信息提供帮助将提高回忆准确性（即，如果回忆反应与EMA反应在同一时刻匹配）相比，没有援助，我们假设，晚上回忆（辅助或不）的整体完成率将高于即时EMA。我们进行了一项为期两周的研究（N=54），参与者每天完成回忆和EMA。我们发现，通过上下文信息提供帮助使回忆准确率提高了5.6%（p = 0.032），总体回忆完成率平均比EMA高27.8%（p < 0.001）。
Besides passive sensing, ecological momentary assessments (EMAs) are one of the primary methods to collect in-the-moment data in ubiquitous computing and mobile health. While EMAs have the advantage of low recall bias, a disadvantage is that they frequently interrupt the user and thus long-term adherence is generally poor. In this paper, we propose a less-disruptive self-reporting method, “assisted recall,” in which in the evening individuals are asked to answer questions concerning a moment from earlier in the day assisted by contextual information such as location, physical activity, and ambient sounds collected around the moment to be recalled. Such contextual information is automatically collected from phone sensor data, so that self-reporting does not require devices other than a smartphone. We hypothesized that providing assistance based on such automatically collected contextual information would increase recall accuracy (i.e., if recall responses for a moment match the EMA responses at the same moment) as compared to no assistance, and we hypothesized that the overall completion rate of evening recalls (assisted or not) would be higher than for in-the-moment EMAs. We conducted a two-week study (N=54) where participants completed recalls and EMAs each day. We found that providing assistance via contextual information increased recall accuracy by 5.6% (p = 0.032) and the overall recall completion rate was on average 27.8% (p < 0.001) higher than that of EMAs.