Troubling Collaboration: Matters of Care for Visualization Design Study
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Abstract
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.
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Maintenance is typically invisible labor [1] that rarely garners the attention that new feature work does, but may offer a marketing-style signal that the library is actively maintained.
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Considering Visualization Example Galleries
Yang, J., McNutt, A. M., & Battle, L. (2024) · 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc60511.2024.00043 · Cited by 5 · see citing works
“Maintenance is typically invisible labor [1] that rarely garners the attention that new feature work does, but may offer a marketing-style signal that the library is actively maintained.”
Background
- Authors
- Akbaba, D., Lange, D., Correll, M., Lex, A., & Meyer, M.
- Affiliations
- Linköping University (SE)
- University of Utah (US)
- Tableau Software (United States) (US)
- Venue
- Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2023-04-19
- Pages
- 1-15
- OpenAlex
- W4366548422
- Cited by
- 40
- References
- 3
- Citations by year
- 2026: 6 · 2025: 18 · 2024: 10 · 2023: 6
- FWCI
- 4.28
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
- Diva portal (Dalarna University Library) (submittedVersion, other-oa)
- OSF Preprints (OSF Preprints) (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
- Funders
- National Science Foundation (1835904)
- Knut och Alice Wallenbergs Stiftelse (WASP)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Decision Sciences › Information Systems and Management › Interdisciplinary Research and Collaboration
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- collaboration, matters of care, domain experts, graduate students, equity, research relationships
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