What Counts as ‘Creative’ Work? Articulating Four Epistemic Positions in Creativity-Oriented HCI Research
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This paper examines prevailing understandings of creativity in creative computing research through the lens of feminist epistemology. We analyze “creativity support” as a construct that encodes different definitions of creative work. Drawing on existing literature and practices, the paper surfaces four views about creative work that underpin current creative technologies and HCI research: problem-solving, cognitive emergence, embodied action, and tool-mediated expert activity. Each view makes different claims about the role of computing in creative work and the creative subject assumed. We articulate the attendant politics of each view and illustrate how critical feminist epistemology can serve as an analytical tool to reason about the trade-offs of various creativity definitions. The paper concludes with recommendations for integrating feminist values into creativity-oriented HCI research.
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State-of-the-art generative AI systems match human creativity in certain evaluations and can enhance the creative output of knowledge workers.
“State-ofthe-art generative AI systems have reached proficiency levels that not only match human creativity in certain evaluations [20,33], but can also enhance the creative output of knowledge workers [1,2,30].”
From Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking (2025) · cites this paper as [30]
Section 5.3 (p. 6) describes AI-driven ideation tools intended to help people discover useful ideas more quickly and abundantly. It does not establish that state-of-the-art generative AI enhances the measured creative output of knowledge workers. This source is cited for that latter claim, not for the separate claim about matching human creativity. (LLM, conf=0.84)
Experimental — accuracy not yet measuredCreativity support tools are designed to enhance both the creative person and the creative activity, aiming to 'make people more creative more often' and facilitating creative activities by improving the processes, usability, and workflows involved in creative work.
“These CSTs are designed to enhance both the creative person and the creative activity [45], aiming to 'make people more creative more often' [89] and facilitating creative activities by improving the processes, usability, and work ows involved in creative work [81].”
From Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking (2024) · cites this paper as [45]
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Cited by
Sorted by citations
Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking
Kumar, H., Vincentius, J., Jordan, E., & Anderson, A. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714198 · Cited by 51 · see citing works
“State-of-the-art generative AI systems have reached proficiency levels that not only match human creativity in certain evaluations [20, 33], but can also enhance the creative output of knowledge workers [1, 2, 30].”
Fu, Y., Bin, H., Zhou, T., Wang, M., Chen, Y., Lai, Z. G. D. C., Wobbrock, J. O., & Hiniker, A. (2024) · arXiv · doi:10.48550/arxiv.2411.00168 · Cited by 4 · see citing works
“These CSTs are designed to enhance both the creative person and the creative activity [45], aiming to “make people more creative more often” [89] and facilitating creative activities by improving the processes, usability, and work � ows involved in creative work [81].”
BackgroundMethodFu, Y., Zhou, T., Han, B., Wang, M., Chen, Y., Gomes Da Costa Lai, Z., Pang, R. Y., Reinecke, K., Wobbrock, J. O., & Hiniker, A. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791329 · Cited by 2 · see citing works
- Authors
- Hsueh, S., Ciolfi Felice, M., Alaoui, S. F., & Mackay, W. E.
- Affiliations
- University of Washington (US)
- KTH Royal Institute of Technology, Sweden
- Centre National de la Recherche Scientifique (FR)
- Venue
- Proceedings of the CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2024-05-11
- Issue
- 497
- Pages
- 1-15
- OpenAlex
- W4396832419
- Cited by
- 33
- References
- 87
- Citations by year
- 2026: 15 · 2025: 18
- FWCI
- 10.63
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
- HAL (submittedVersion, cc-by)
- University of the Arts London Research Online (University of the Arts London) (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-22-EXEN-0006)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Keywords
- creativity, creative work, creativity support, feminist epistemology, creative computing, human-computer interaction research, definition of creativity, problem solving, cognitive emergence, embodied action, creative subject
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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