A Review on Strategies for Data Collection, Reflection, and Communication in Eating Disorder Apps

A Review on Strategies for Data Collection, Reflection, and Communication in Eating Disorder Apps
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饮食失调应用程序中的数据收集、反思和沟通策略综述

DOI:
10.1145/3411764.3445670
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发表时间:
2021
期刊:
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
De Choudhury, Munmun
De Choudhury, Munmun
中科院分区:
--
文献类型:
--
作者:
Devakumar, Anjali;Modh, Jay;Saket, Bahador;Baumer, Eric P.;De Choudhury, Munmun

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饮食失调是一种死亡率最高的精神疾病。今天,移动健康应用程序为急诊患者提供了管理他们的病情的有希望的手段。应用程序使用户能够监控他们的饮食习惯、想法和感受,并为行为变化提供分析洞察力。然而,学者们不仅批评了这些应用程序的临床有效性,而且他们潜在的设计原则也没有得到很好的理解。通过对34个ED应用程序的回顾,我们发现了Ed应用程序收集的11种不同数据类型,以及它们支持收集和反思的9种策略。借鉴个人健康信息学和可视化框架,我们发现大多数应用程序在应该从用户那里收集什么数据以及如何向用户反映数据,或者应该如何传达数据驱动的见解方面,都没有遵循最佳实践。我们的审查提供了改进ED应用程序设计的建议,以便它们在ED恢复中有用和有意义。
Eating disorders (EDs) constitute a mental illness with the highest mortality. Today, mobile health apps provide promising means to ED patients for managing their condition. Apps enable users to monitor their eating habits, thoughts, and feelings, and offer analytic insights for behavior change. However, not only have scholars critiqued the clinical validity of these apps, their underlying design principles are not well understood. Through a review of 34 ED apps, we uncovered 11 different data types ED apps collect, and 9 strategies they employ to support collection and reflection. Drawing upon personal health informatics and visualization frameworks, we found that most apps did not adhere to best practices on what and how data should be collected from and reflected to users, or how data-driven insights should be communicated. Our review offers suggestions for improving the design of ED apps such that they can be useful and meaningful in ED recovery.
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