Exploring the Personal Informatics Analysis Gap: "There's a Lot of Bacon".
Exploring the Personal Informatics Analysis Gap: "There's a Lot of Bacon".
复制标题
探索个人信息学分析差距：“培根有很多”。
DOI：
10.1109/tvcg.2021.3114798
复制
发表时间：
2022
影响因子：
5.2
通讯作者：
Meyer,Miriah
中科院分区：
文献类型：
--
作者：
Moore,Jimmy;Goffin,Pascal;Wiese,Jason;Meyer,Miriah
个人信息学研究帮助人们跟踪个人数据，以进行自我反思和获得自我认识。然而，这一领域主要集中在自我跟踪的数据收集和洞察力生成元素上，对灵活的数据分析关注较少。因此，这种疏忽导致了不灵活的分析管道，无法反映或支持人们想要与数据互动的各种方式。本文回顾了个人信息学和可视化研究文献，揭示了我们在设计灵活工具方面的知识差距，这些工具可以帮助人们在个人环境中参与和分析个人数据，我们称之为个人信息学分析差距。我们通过一项关于哮喘患者如何参与个人空气质量数据的多阶段纵向研究来探索这一差距，我们报告了参与者如何：被广泛而多样化的目标所激励;在他们探索数据的方式中表现出模式;以有趣的方式参与数据;通过偶然的探索发现新的见解;并且不愿意自己使用分析工具。这些结果为视觉分析研究提供了新的机会，并表明在支持个人数据分析时，我们需要从根本上改变设计方式和设计内容。
Personal informatics research helps people track personal data for the purposes of self-reflection and gaining self-knowledge. This field, however, has predominantly focused on the data collection and insight-generation elements of self-tracking, with less attention paid to flexible data analysis. As a result, this inattention has led to inflexible analytic pipelines that do not reflect or support the diverse ways people want to engage with their data. This paper contributes a review of personal informatics and visualization research literature to expose a gap in our knowledge for designing flexible tools that assist people engaging with and analyzing personal data in personal contexts, what we call the personal informatics analysis gap. We explore this gap through a multistage longitudinal study on how asthmatics engage with personal air quality data, and we report how participants: were motivated by broad and diverse goals; exhibited patterns in the way they explored their data; engaged with their data in playful ways; discovered new insights through serendipitous exploration; and were reluctant to use analysis tools on their own. These results present new opportunities for visual analysis research and suggest the need for fundamental shifts in how and what we design when supporting personal data analysis.