CAREER: Inspecting Personal Informatics: Reflection Practices to Unlock Value in Self-Tracked Data

该项目将研究人们如何通过设计，构建和部署用于探索个人数据的新工具来反映个人信息学数据。健身跟踪设备、智能手机应用程序和其他基于计算机技术的工具，可以帮助人们自动跟踪有关其生活各个方面的数据，这些工具正变得越来越普遍。尽管在改善人们收集自我跟踪数据的方式方面取得了相当大的进展，但关于技术如何帮助人们反思收集的数据的研究却很少。因此，人们经常被他们收集的数据淹没，不知道得出什么结论，并变得沮丧或停止使用。该研究将研究减少理解跟踪数据的障碍的方法，无论是个人还是与朋友，家人，同行和专家合作。为了理解和加强对个人信息数据的反思和行动，研究将建立和部署工具，帮助人们探索他们的数据，并确定改变的机会。该项目包括为高中、大学、研究生和社区开展综合推广和教育活动。最初的重点将是设计工具，支持从多个来源（如身体活动，情绪，睡眠，位置，天气，体重和个人财务）跟踪数据的探索，并评估这些工具如何增强能力，以反映和识别变化的机会。该研究将调查家庭之间以及与专家，朋友和同龄人共享数据的现有做法。与财务规划师、生活教练和私人教练的访谈将记录他们如何处理客户数据。每个受众需要什么样的数据和观点，以及如何将其整合到他们的反思和行动过程中？分享时会产生什么样的紧张关系？个人信息学记录如何帮助连接不同级别和类型的专业知识？结果将导致新的设计方法，使个人信息学数据更有价值的人谁已经跟踪，这将使自我跟踪更多的人。该研究将改进帮助人们理解其跟踪数据的系统，这将带来更好的个人信息学系统，并在更广泛的意义上改进对大型、不同数据流的开放式探索实践。研究结果还将有助于人们如何单独和协作地反映个人数据的理论，特别是在具有不同专业知识水平的人之间。

This project will study how people reflect on personal informatics data by designing, building, and deploying novel tools for exploration of personal data. Fitness tracking devices, smartphone applications, and other tools based on computer technology that help people automatically track data about every facet of their lives are becoming increasingly prevalent. Despite considerable progress in improving how people collect data for self-tracking, there has been little research on how technology can help people reflect on the collected data. Consequently, people often are overwhelmed by the data they collect, do not know what conclusions to draw, and become frustrated or discontinue use. The research will study approaches to reducing barriers to making sense of tracked data, both individually and in collaboration with friends, family, peers, and experts. To understand and enhance practices for reflecting and acting on personal informatics data, the research will build and deploy tools that help people explore their data and identify opportunities for change. The project includes integrated outreach and educational activities for high school, college, and graduate students and the community. The initial focus will be on designing tools that support exploration of tracked data from several sources - such as physical activity, mood, sleep, location, weather, weight, and personal finances - and evaluating how these tools augment abilities to reflect and to identify opportunities for change. The research will survey existing practices for sharing data among family and with experts, friends, and peers. Interviews with financial planners, life coaches, and personal trainers will document how they engage with client data. What data and views does each audience need, and how should this be integrated into their process for reflecting and acting? What tensions arise when sharing? How can personal informatics records help bridge different levels and types of expertise? Results will lead to new design approaches that make personal informatics data more valuable to people who already track and that will make self-tracking accessible to more people. The research will improve systems that help people make sense of their tracked data, which will lead to better personal informatics systems and, more broadly, improved practices for open-ended exploration of large, disparate data streams. Results will also contribute to theory about how people reflect on personal data individually and collaboratively, particularly among people with different levels of expertise.