An Interview Method for Engaging Personal Data

An Interview Method for Engaging Personal Data
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一种获取个人数据的访谈方法

DOI:
10.1145/3494964
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发表时间:
2021
期刊:
Wearable and Ubiquitous Technologies
影响因子:
--
通讯作者:
Meyer, Miriah
Meyer, Miriah
中科院分区:
--
文献类型:
--
作者:
Moore, Jimmy;Goffin, Pascal;Wiese, Jason;Meyer, Miriah

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无论是调查研究问题还是设计系统,许多研究人员和设计人员都需要让用户使用他们的个人数据。然而,如果不首先了解用户想要用他们的数据做什么,就很难成功地设计出面向用户的工具来与个人数据进行交互。用于原始数据探索、草图绘制或物理化的技术可以避免工具开发的风险,但防止直接分析访问用户丰富的个人数据。我们提出了一种直接应对这一挑战的新方法:数据参与访谈。这种面试方法包括分析师提供实时个人数据分析,让面试参与者有机会直接接触他们的数据,面试官在整个过程中观察和提问。我们通过哮喘参与者的案例研究描述了该方法的发展,从我们的经验中分享见解和指导,并从这些访谈中报告了一系列广泛的见解。
Whether investigating research questions or designing systems, many researchers and designers need to engage users with their personal data. However, it is difficult to successfully design user-facing tools for interacting with personal data without first understanding what users want to do with their data. Techniques for raw data exploration, sketching, or physicalization can avoid the perils of tool development, but prevent direct analytical access to users' rich personal data. We present a new method that directly tackles this challenge: the data engagement interview. This interview method incorporates an analyst to provide real-time personal data analysis, granting interview participants the opportunity to directly engage with their data, and interviewers to observe and ask questions throughout this engagement. We describe the method's development through a case study with asthmatic participants, share insights and guidance from our experience, and report a broad set of insights from these interviews.
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