Troubling Collaboration: Matters of Care for Visualization Design Study
Derya Akbaba, Devin Lange, Michael Correll, Alexander Lex, Miriah Meyer
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext f424edee-1925-497b-8406-cf9d765f45a0Cited by top-tier papers22
- ReVISit 2: A Full Experiment Life Cycle User Study FrameworkZach Cutler, Jack Wilburn, Hilson Shrestha, Yiren Ding et al.IEEE VIS 2025 · 25 citations
- Situating Datasets: Making Public Eviction Data Actionable for Housing JusticeAnh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Andrew Chan et al.CHI 2024 · 20 citations
- Entanglements for Visualization: Changing Research Outcomes through Feminist TheoryDerya Akbaba, Lauren F. Klein, Miriah MeyerIEEE VIS 2024 · 18 citations
- Transitioning to a Commercial Dashboarding System: Socio-Technical Observations and OpportunitiesConny Walchshofer, Vaishali Dhanoa, Marc Streit, Miriah MeyerIEEE VIS 2023 · 15 citations
- From Exploration to End of Life: Unpacking Sustainability in Physicalization PracticesLuiz Morais, Georgia Panagiotidou, Sarah Hayes, Tatiana Losev et al.CHI 2024 · 13 citations
Builds on9
- Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science OnlineCrystal Lee, Tanya Yang, Gabrielle D. Inchoco, Graham M. Jones et al.CHI 2021 · 140 citations
- Understanding Data Visualization Design PracticePaul ParsonsIEEE VIS 2021 · 53 citations
- Re-Shape: A Method to Teach Data Ethics for Data Science EducationBen Rydal Shapiro, Amanda Meng, Cody O'Donnell, Charlotte Lou et al.CHI 2020 · 51 citations
- Proceed with Care: Reimagining Home IoT Through a Care PerspectiveCayla Key, Fiona Browne, Nick Taylor, Jon RogersCHI 2021 · 45 citations
- It Takes More Than One Hand to Clap: On the Role of 'Care' in Maintaining Design ResultsMax Krüger, Anne Weibert, Débora de Castro Leal, Dave Randall et al.CHI 2021 · 37 citations
Related papers
- Collaborating Across Domains and Roles: An Interview Study of Visualization Design PracticesYiwen Xing, Maria Teresa Ortoleva, Rita Borgo, Alfie Abdul-RahmanIEEE VIS 2025 · 1 citation
- Beyond Problem Solving: Framing and Problem-Solution Co-Evolution in Data Visualization DesignPaul C. Parsons, Prakash Chandra ShuklaIEEE VIS 2025 · 5 citations
- Trustworthy by Design: The Viewer's Perspective on Trust in Data VisualizationOen G. McKinley, Saugat Pandey, Alvitta OttleyCHI 2025 · 5 citations
- How Visualization Designers Perceive and Use InspirationAli Baigelenov, Prakash Shukla, Paul ParsonsCHI 2025 · 6 citations
- A Critical Reflection on the Values and Assumptions in Data VisualizationShehryar Saharan, Ibrahim Al Hazwani, Miriah Meyer, Laura A. GarrisonCHI 2026 · 2 citations
