Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change
Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change
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DOI：
10.1145/2503823
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发表时间：
2013-11-01
影响因子：
3.7
通讯作者：
Wilson, Jeff
中科院分区：
文献类型：
--
作者：
Bentley, Frank;Tollmar, Konrad;Wilson, Jeff
人们现在可以获得有关其健康和福祉的许多数据来源。然而，大多数人无法通过所有这些数据来回答关于他们长期健康的基本问题：当我有忙碌的日子时，我会发胖吗？我在城市里工作时走得多吗？我在锻炼后的晚上睡得更好吗？我们构建了健康混搭系统，以识别体重、睡眠、步数、日历数据、位置、天气、疼痛、食物摄入和情绪之间随着时间的推移而存在的重要联系。这些重要的观察结果使用自然语言显示在移动的应用程序中，例如，“你睡得多的日子更快乐。“我们进行了一项试点研究，对系统进行了改进，然后对60名不同的参与者进行了为期90天的试验，了解到幸福感和环境之间的相互作用是高度个性化的，我们的系统支持增加自我理解，从而导致集中的行为改变。
People now have access to many sources of data about their health and wellbeing. Yet, most people cannot wade through all of this data to answer basic questions about their long-term wellbeing: Do I gain weight when I have busy days? Do I walk more when I work in the city? Do I sleep better on nights after I work out?We built the Health Mashups system to identify connections that are significant over time between weight, sleep, step count, calendar data, location, weather, pain, food intake, and mood. These significant observations are displayed in a mobile application using natural language, for example, "You are happier on days when you sleep more." We performed a pilot study, made improvements to the system, and then conducted a 90-day trial with 60 diverse participants, learning that interactions between wellbeing and context are highly individual and that our system supported an increased self-understanding that lead to focused behavior changes.