mlsanityData to 14 Oct 2026

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

arXiv 2207.04171 ↗First posted 9 Jul 2022cs.HC cs.AI cs.CYcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 4 of its 146 references that are in the map. First posted on arXiv 9 Jul 2022.

Builds on

4 of 146 references.

References · 4

  1. 2020Participation is not a Design Fix for Machine Learningcited by 111
  2. 2019ORES: Lowering Barriers with Participatory Machine Learning in Wikipediacited by 16
  3. 2018Community-Empowered Air Quality Monitoring Systemcited by 2
  4. 2020Chasing Lions: Co-Designing Human-Drone Interaction in Sub-Saharan Africacited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 6; 2025: 4; 2026: 2.

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  1. 2023AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asiacited by 54
  2. 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototypingcited by 28
  3. 2024"It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologiescited by 12
  4. 2025"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalismcited by 10
  5. 2024A Computational Method for Measuring "Open Codes" in Qualitative Analysiscited by 6
  6. 2024Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurscited by 4
  7. 2024Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governancecited by 4
  8. 2023Grounded Intuition of GPT-Vision's Abilities with Scientific Imagescited by 3
  9. 2024AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionalscited by 3
  10. 2025Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participationcited by 3
  11. 2025Telling stories, making Hanzi: AI-assisted co-creation with elderly migrants in urban Chinacited by 0
  12. 2025How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscapecited by 0
2 more
  1. 2026Making Videos Accessible for Blind and Low Vision Users Using a Multimodal Agent Video Playercited by 0
  2. 2026ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discoverycited by 0