Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management.
Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management.
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DOI：
10.1145/3369809
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发表时间：
2019-12-01
影响因子：
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通讯作者：
Munson, Sean A
中科院分区：
文献类型：
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作者：
Schroeder, Jessica;Karkar, Ravi;Munson, Sean A
尽管自我追踪可以让人们更完整、更准确、更长期地了解个人健康状况，但许多人在健康相关的自我追踪目标上遇到困难或未能实现。本文研究了如何应对当前自我跟踪工具带来的挑战，这些工具未阐明个人的数据目标，也缺乏明确的支持。我们研究如何支持人们和医疗服务提供者通过目标导向的自我跟踪来表达和追求他们的跟踪相关目标，这是一种表示跟踪目标和基础数据之间关系的新方法。根据对先前偏头痛跟踪目标研究数据的重新分析，我们创建了一个纸质原型，以探索目标导向的自我跟踪是否以及如何解决人们在慢性病管理中的数据目标与他们用来支持这些目标的工具之间当前的脱节。我们通过采访 14 名偏头痛患者和 5 名医疗服务提供者来检查这个原型。我们的研究结果表明，支架式目标导向自我跟踪具有以下潜力：1）引出不同类型和层次的管理和跟踪目标； 2）帮助人们为实现特定目标的自我追踪的各个阶段做好准备； 3) 在医患合作方面贡献更多专业知识。根据我们的发现，我们提出了对明确代表和支持个人特定自我跟踪目标的工具设计的启示。
Although self-tracking offers potential for a more complete, accurate, and longer-term understanding of personal health, many people struggle with or fail to achieve their goals for health-related self-tracking. This paper investigates how to address challenges that result from current self-tracking tools leaving a person's goals for their data unstated and lacking explicit support. We examine supporting people and health providers in expressing and pursuing their tracking-related goals via goal-directed self-tracking, a novel method to represent relationships between tracking goals and underlying data. Informed by a reanalysis of data from a prior study of migraine tracking goals, we created a paper prototype to explore whether and how goal-directed self-tracking could address current disconnects between the goals people have for data in their chronic condition management and the tools they use to support such goals. We examined this prototype in interviews with 14 people with migraine and 5 health providers. Our findings indicate the potential for scaffolding goal-directed self-tracking to: 1) elicit different types and hierarchies of management and tracking goals; 2) help people prepare for all stages of self-tracking towards a specific goal; and 3) contribute additional expertise in patient-provider collaboration. Based on our findings, we present implications for the design of tools that explicitly represent and support an individual's specific self-tracking goals.