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Troubling Collaboration: Matters of Care for Visualization Design Study
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9419-3402
University of Utah, United States.
Tableau Research, Tableau Software, United States.
University of Utah, United States.
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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 [en]
interview study, collaboration, maintenance, diffraction, design study, matters of care
National Category
Computer Sciences Ethics
Identifiers
URN: urn:nbn:se:liu:diva-193915DOI: 10.1145/3544548.3581168ISI: 001048393800043ISBN: 9781450394215 (print)OAI: oai:DiVA.org:liu-193915DiVA, id: diva2:1757795
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: 2025-05-28Bibliographically approved
In thesis
1. Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology
Open this publication in new window or tab >>Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Foundational theories in visualization offer explanations and models for how people use visualizations to interpret data. A recent turn in visualization research has drawn attention to the ways in which these theories have limited explanatory power. Instead, researchers are drawing on alternative theories of knowledge, or epistemology, to address persistent problems in the field. This dissertation joins the conversation, presenting entanglement theory for visualization as an alternative epistemological theory and illustrative case studies that demonstrate how alternative theory in visualization shifts our attention and thus alters visualization research outcomes.

To support this claim, this dissertation presents two contributions that illustrate the productive capacity of feminist theory to contribute to visualization research. The first contribution is a novel theory for visualization transposed from feminist entanglement theory. Entanglement theory for visualization shifts the definitions of data, visualization, and insight toward relational and situated objects that are inseparable from feminist objects of concern: ethics, power, and privilege. Along with new definitions of data, visualization, and insights, we present three ways we mobilize feminist epistemology across visualization as the second contribution. The second contribution consists of three case studies demonstrating how feminist visualization theory drew our attention to previously ignored aspects of visualization design guidelines, the role of knowledge, and ethics in collaborative frameworks. Each case study illustrates the productive nature of approaching visualization research with an alternative epistemology.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2025. p. 65
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2459
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-214083 (URN)10.3384/9789181181654 (DOI)9789181181647 (ISBN)9789181181654 (ISBN)
Public defence
2025-09-04, Kåkenhus, Room K3, Campus Norrköping, Norrköping, 14:00 (English)
Opponent
Supervisors
Note

Funding: This dissertation was supported in part by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.

Available from: 2025-05-28 Created: 2025-05-28 Last updated: 2025-06-02Bibliographically approved

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Akbaba, DeryaMeyer, Miriah

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Citation style
  • apa
  • ieee
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  • vancouver
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  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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