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An Interview Method for Engaging Personal Data

Published: 30 December 2021 Publication History

Abstract

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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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 5, Issue 4
Dec 2021
1307 pages
EISSN:2474-9567
DOI:10.1145/3508492
Issue’s Table of Contents
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Published: 30 December 2021
Published in IMWUT Volume 5, Issue 4

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Author Tags

  1. Interview methods
  2. Personal data
  3. Personal informatics
  4. Qualitative methods

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  • Research
  • Refereed

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  • National Science Foundation
  • Wallenberg AI, Autonomous Systems and Software Program (WASP)
  • National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health
  • Knut and Alice Wallenberg Foundation

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