An Interview Method for Engaging Personal Data
2021 (English)In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, E-ISSN 2474-9567, Vol. 5, no 4, article id 173Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
ACM Digital Library, 2021. Vol. 5, no 4, article id 173
Keywords [en]
Personal data, Personal informatics, Interview methods, Qualitative methods
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-208629DOI: 10.1145/3494964ISI: 000908393000030Scopus ID: 2-s2.0-85122785310OAI: oai:DiVA.org:liu-208629DiVA, id: diva2:1906813
Funder
Knut and Alice Wallenberg Foundation2024-10-182024-10-182024-12-19