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Meyer, Miriah
Publications (2 of 2) Show all publications
Akbaba, D., Lange, D., Correll, M., Lex, A. & Meyer, M. (2023). Troubling Collaboration: Matters of Care for Visualization Design Study. In: PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2023): . Paper presented at CHI conference on Human Factors in Computing Systems (CHI), Hamburg, GERMANY, apr 23-28, 2023. New York, NY, USA: Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Troubling Collaboration: Matters of Care for Visualization Design Study
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2023 (English)In: PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2023), New York, NY, USA: Association for Computing Machinery (ACM), 2023Conference paper, Published paper (Refereed)
Abstract [en]

A common research process in visualization is for visualization researchers to collaborate with domain experts to solve particular applied data problems. While there is existing guidance and expertise around how to structure collaborations to strengthen research contributions, there is comparatively little guidance on how to navigate the implications of, and power produced through the socio-technical entanglements of collaborations. In this paper, we qualitatively analyze reflective interviews of past participants of collaborations from multiple perspectives: visualization graduate students, visualization professors, and domain collaborators. We juxtapose the perspectives of these individuals, revealing tensions about the tools that are built and the relationships that are formed — a complex web of competing motivations. Through the lens of matters of care, we interpret this web, concluding with considerations that both trouble and necessitate reformation of current patterns around collaborative work in visualization design studies to promote more equitable, useful, and care-ful outcomes.

Place, publisher, year, edition, pages
New York, NY, USA: Association for Computing Machinery (ACM), 2023
Keywords
interview study, collaboration, maintenance, diffraction, design study, matters of care
National Category
Computer Sciences Ethics
Identifiers
urn:nbn:se:liu:diva-193915 (URN)10.1145/3544548.3581168 (DOI)001048393800043 ()9781450394215 (ISBN)
Conference
CHI conference on Human Factors in Computing Systems (CHI), Hamburg, GERMANY, apr 23-28, 2023
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Available from: 2023-05-17 Created: 2023-05-17 Last updated: 2023-11-07Bibliographically approved
Akbaba, D. & Meyer, M. (2023). “Two Heads are Better than One”: Pair-Interviews for Visualization. In: 2023 IEEE Visualization and Visual Analytics (VIS): . Paper presented at IEEE Visualization and Visual Analytics (VIS), Melbourne, Australia, 21-27 October, 2023.. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>“Two Heads are Better than One”: Pair-Interviews for Visualization
2023 (English)In: 2023 IEEE Visualization and Visual Analytics (VIS), Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

Visualization research methods help us study how visualization systems are used in complex real-world scenarios. One such widely used method is the interview — researchers asking participants specific questions to enrich their understanding. In this work, we introduce the pair-interview technique as a method that relies on two interviewers with specific and delineated roles, instead of one. Pair-interviewing focuses on the mechanics of conducting semi-structured interviews as a pair, and complements other existing visualization interview techniques. Based on a synthesis of the experiences and reflections of researchers in four diverse studies who used pair-interviewing, we outline recommendations for when and how to use pair-interviewing within visualization research studies.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Series
IEEE Visualization and Visual Analytics, ISSN 2771-9537, E-ISSN 2771-9553
Keywords
visualization, visual analytics, reflection, interviews
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-199936 (URN)10.1109/VIS54172.2023.00050 (DOI)001137142800042 ()2-s2.0-85182599934 (Scopus ID)9798350325577 (ISBN)9798350325584 (ISBN)
Conference
IEEE Visualization and Visual Analytics (VIS), Melbourne, Australia, 21-27 October, 2023.
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Note

Funding: Wallenberg AI, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation

Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2024-02-09Bibliographically approved
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