A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research

要旨

HCI researchers have been gradually shifting attention from individual users to communities when engaging in research, design, and system development. However, our field has yet to establish a cohesive, systematic understanding of the challenges, benefits, and commitments of community-collaborative approaches to research. We conducted a systematic review and thematic analysis of 47 computing research papers discussing participatory research with communities for the development of technological artifacts and systems, published over the last two decades. From this review, we identified seven themes associated with the evolution of a project: from establishing community partnerships to sustaining results. Our findings suggest that several tensions characterize these projects, many of which relate to the power and position of researchers, and the computing research environment, relative to community partners. We discuss the implications of our findings and offer methodological proposals to guide HCI, and computing research more broadly, towards practices that center communities.

著者
Ned Cooper
Australian National University, Canberra, New South Wales, Australia
Tiffanie Horne
Google LLC (via Pro Unlimited), Seattle, Washington, United States
Gillian R. Hayes
University of California, Irvine, Irvine, California, United States
Courtney Heldreth
Google, Seattle, Washington, United States
Michal Lahav
Google, Seattle, Washington, United States
Jess Holbrook
Google, Seattle, Washington, United States
Lauren Wilcox
Google, Mountain View, California, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517716

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Users' Preferences and Needs

283–285
5 件の発表
2022-05-04 18:00:00
2022-05-04 19:15:00