Questioning the Reflection Paradigm for Diabetes Mobile Apps

Questioning the Reflection Paradigm for Diabetes Mobile Apps
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DOI:
10.1007/978-3-319-49655-9_39
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发表时间:
2016-12
期刊:
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影响因子:
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通讯作者:
Dmitri S. Katz;Nick Dalton;S. Holland;A. O'Kane;B. Price
Dmitri S. Katz;Nick Dalton;S. Holland;A. O'Kane;B. Price
中科院分区:
其他
文献类型:
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作者:
Dmitri S. Katz;Nick Dalton;S. Holland;A. O'Kane;B. Price

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智能手机上有数百种糖尿病自我管理应用程序,通常使用日记或日志方法。本文探讨如何以及这种方法帮助参与者使收集的数据的意义。我们发现,虽然这些系统通常支持数据和趋势审查,但它们不适合帮助用户理解数据中的复杂相关性。这些应用程序的认知要求用户界面(UI)很难适应智能手机显示器的有限真实的状态和用户的日常需求。许多与会者表示希望得到智能化、个性化和有背景意识的近期建议。相比之下,用户并没有将反思先前数据和行为的工具视为优先事项,而许多研究人员认为这是必不可少的。我们认为,虽然未来的移动的健康(mHealth)系统的设计者需要利用自动化通过连接的传感器,智能处理的日益微妙的优势,它也是必要的,以发展当前的图形和仪表板的用户界面范例,以协助用户在长期的自我管理健康的做法。
Hundreds of diabetes self-management apps are available for smart phones, typically using a diary or logging methodology. This paper investigates how well such approaches help participants to make sense of collected data. We found that, while such systems typically support data and trend review, they are ill suited to helping users understand complex correlations in the data. The cognitively demanding user interfaces (UI’s) of these apps are poorly adapted both to the restricted real estate of smartphone displays and to the daily needs of users. Many participants expressed the desire for intelligent, personalized and contextually aware near-term advice. By contrast, users did not see tools for reflection on prior data and behavior, seen as indispensable by many researchers, as a priority. We argue that while designers of future mobile health (mHealth) systems need to take advantage of automation through connected sensors, and the increasing subtlety of intelligent processing, it is also necessary to evolve current graphs and dashboards UI paradigms to assist users in long-term self-management health practices.