H is for Human and How (Not) To Evaluate Qualitative Research in HCI
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Abstract (arXiv)
Concern has recently been expressed by HCI researchers as to the inappropriate treatment of qualitative studies through a positivistic mode of evaluation that places emphasis on metrics and measurement. This contrasts with the nature of qualitative research, which privileges interpretation and understanding over quantification. This paper explains the difference between positivism and interpretivism, the limits of quantification in human science, the distinctive contribution of qualitative research, and how quality assurance might be provided for in the absence of numbers via five basic criteria that reviewers may use to evaluate qualitative studies on their own terms.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Aug 2024.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2024'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participantscited by 27
- 2025The Case for "Thick Evaluations" of Cultural Representation in AIcited by 16
- 2024Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLMcited by 5
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insightscited by 3
- 2025Generative Artificial Intelligence in Qualitative Research Methods: Between Hype and Risks?cited by 2
- 2026Large language models struggle with ethnographic text annotationcited by 0
- 2026Large language models struggle with ethnographic text annotation17 Jan 2026
- 2025Generative Artificial Intelligence in Qualitative Research Methods: Between Hype and Risks?11 Nov 2025
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights23 May 2025
- 2025The Case for "Thick Evaluations" of Cultural Representation in AI24 Mar 2025
- 2024Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLM18 Oct 2024
- 2024'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants28 Sep 2024