Troubling Collaboration: Matters of Care for Visualization Design Study

要旨

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 \textit{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.

著者
Derya Akbaba
Linköping University, Norrköping, Sweden
Devin Lange
University of Utah, Salt Lake City, Utah, United States
Michael Correll
Tableau Software, Seattle, Washington, United States
Alexander Lex
University of Utah, Salt Lake City, Utah, United States
Miriah Meyer
Linköping University, Nörrkoping, Sweden
論文URL

https://doi.org/10.1145/3544548.3581168

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Visualization Grammars and Design

Room X11+X12
6 件の発表
2023-04-26 20:10:00
2023-04-26 21:35:00