Designing Participatory AI: Creative Professionals’ Worries and Expectations about Generative AI
Open accessAbstract
Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. Such technologies potentially introduce a massive disruption to creative fields. This paper presents the results of a qualitative survey (N = 23) investigating how creative professionals think about generative AI. The results show that the advancement of these AI models prompts important reflections on what defines creativity and how creatives imagine using AI to support their workflows. Based on these reflections, we discuss how we might design participatory AI in the domain of creative expertise with the goal of empowering creative professionals in their present and future coexistence with AI.
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Recent studies investigate the impact of technology on design and creative workflows, and the potential for its usage as a design support tool.
“This has resulted in a number of recent studies that investigate the impact of technology on design and creative workflows, and the potential for its usage as a design support tool (e.g.[2,11,20,24,58]).”
From Is Resistance Futile?: Early Career Game Developers, Generative AI, and Ethical Skepticism (2024) · cites this paper as [24]
The literature review identified several existing considerations of AI systems as particularly important to the generative case, such as using participatory methods to design for real user needs like explainability, and understanding the role of the AI in the co-creative process.
“In addition, we identified several existing considerations of AI systems as being particularly important to the generative case, such as using participatory methods [67] to design for real user needs like explainability [44, 166], and understanding the role of the AI in the co-creative process [37, 57, 106, 123, 148, 161].”
From Design Principles for Generative AI Applications (2024) · cites this paper as [67]
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Cites
What is AI Literacy? Competencies and Design Considerations
Long, D., & Magerko, B. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376727 · Cited by 3,241 · cited 1× · see citing works
“…prepared to use AI as creativity support tools and design materials if they have a working understanding of the tools and their limitations [10, 11, 16], particularly the level of agency that computers can be ascribed (as we saw, no responses that demonstrated a deep level of technical…”
MethodThe creative mind: Myths and mechanisms
Lustig, R. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(95)90025-x · Cited by 824 · see citing works
Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., & Kankanhalli, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174156 · Cited by 743 · see citing works
Protecting Intellectual Property of Deep Neural Networks with Watermarking
Zhang, J., Gu, Z., Jang, J., Wu, H., Stoecklin, M. P., Huang, H., & Molloy, I. (2018) · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · doi:10.1145/3196494.3196550 · Cited by 556 · see citing works
UX Design Innovation: Challenges for Working with Machine Learning as a Design Material
Dove, G., Halskov, K., Forlizzi, J., & Zimmerman, J. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025739 · Cited by 391 · see citing works
A retrospective look at PD projects
Clement, A., & van den Besselaar, P. (1993) · Communications of the ACM · doi:10.1145/153571.163264 · Cited by 340 · see citing works
Power to the People? Opportunities and Challenges for Participatory AI
Birhane, A., Isaac, W., Prabhakaran, V., Diaz, M., Elish, M. C., Gabriel, I., & Mohamed, S. (2022) · Equity and Access in Algorithms Mechanisms and Optimization · doi:10.1145/3551624.3555290 · Cited by 330 · see citing works
Herring, S. R., Chang, C., Krantzler, J., & Bailey, B. P. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518717 · Cited by 261 · see citing works
Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation
Zhu, J., Liapis, A., Risi, S., Bidarra, R., & Youngblood, G. M. (2018) · 2018 IEEE Conference on Computational Intelligence and Games (CIG) · doi:10.1109/cig.2018.8490433 · Cited by 255 · see citing works
Design and the Social Sciences
(2002) · CRC Press eBooks · doi:10.1201/9780203301302 · Cited by 186 · see citing works
Reimagining participatory design
Bannon, L. J., Bardzell, J., & Bødker, S. (2018) · interactions · doi:10.1145/3292015 · Cited by 151 · see citing works
Friend, Collaborator, Student, Manager
Guzdial, M., Liao, N., Chen, J., Chen, S.-Y., Shah, S., Shah, V., Reno, J. O., Smith, G., & Riedl, M. O. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300854 · Cited by 134 · see citing works
Vardi, M. Y. (2021) · Communications of the ACM · doi:10.1145/3501359 · Cited by 6 · see citing works
Materializing the abstract: Understanding AI by game jamming
Falk, J., & Inie, N. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.959351 · Cited by 5 · see citing works
Self-citationSparkes, M. (2022) · The New Scientist · doi:10.1016/s0262-4079(22)01807-3 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- Liam Bannon, Jefrey Bardzell, and Susanne Bødker. 2018. Reimagining partici- patory design. Interactions 26, 1 (2018), 26-32.
- Susanne Bødker, Christian Dindler, Ole S Iversen, and Rachel C Smith. 2022. What Is Participatory Design? In Participatory Design. Springer, 5-13.
- Kees Dorst and Nigel Cross. 2001. Creativity in the design process: co-evolution of problem-solution. Design studies 22, 5 (2001), 425-437.
- Dean Keith Simonton. 2012. Taking the US Patent Ofce criteria seriously: A quantitative three-criterion creativity defnition and its implications. Creativity research journal 24, 2-3 (2012), 97-106.
- Nikhil Singh, Guillermo Bernal, Daria Savchenko, and Elena L Glassman. 2022. Where to hide a stolen elephant: Leaps in creative writing with multimodal machine intelligence. ACM Transactions on Computer-Human Interaction (2022).
Cited by
Sorted by citations
Design Principles for Generative AI Applications
Weisz, J. D., He, J., Muller, M., Hoefer, G., Miles, R., & Geyer, W. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642466 · Cited by 232 · see citing works
Integrating generative AI in knowledge building
Chen, B., Zhu, X., & Díaz del Castillo H., F. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100184 · Cited by 159 · see citing works
AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation
Shaer, O., Cooper, A., Mokryn, O., Kun, A. L., & Ben Shoshan, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642414 · Cited by 130 · see citing works
Vimpari, V., Kultima, A., Hämäläinen, P., & Guckelsberger, C. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3611025 · Cited by 77 · see citing works
"I look at it as the king of knowledge": How Blind People Use and Understand Generative AI Tools
Adnin, R., & Das, M. (2024) · The 26th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3663548.3675631 · Cited by 73 · see citing works
Newman, M., Sun, K., Dalla Gasperina, I. B., Shin, G. Y., Pedraja, M. K., Kanchi, R., Song, M. B., Li, R., Lee, J. H., & Yip, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642492 · Cited by 59 · see citing works
Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI
Ling, L., Chen, X., Wen, R., Li, T. J.-J., & LC, R. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3677102 · Cited by 52 · see citing works
'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models
Hwang, A. H.-C., Liao, Q. V., Blodgett, S. L., Olteanu, A., & Trischler, A. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3711020 · Cited by 42 · see citing works
Zhang, S., Wang, H., & Yi, X. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757594 · Cited by 36 · see citing works
Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process
Reza, M., Thomas-Mitchell, J., Dushniku, P., Laundry, N., Williams, J. J., & Kuzminykh, A. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757566 · Cited by 37 · see citing works
“Other assistance includes character creation [98, 110], poetry [11], lyric generation [99], writing screenplays [82], and design fiction [127].”
Is Resistance Futile?: Early Career Game Developers, Generative AI, and Ethical Skepticism
Boucher, J. D., Smith, G., & Telliel, Y. D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641889 · Cited by 30 · see citing works
Panchanadikar, R., & Freeman, G. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3677082 · Cited by 22 · see citing works
“Game Development While there has been substantial discourse surrounding the utilization of generative AI in various creative fields [8, 18, 20, 24, 27, 32, 36, 39, 63, 67, 74], research specifically focusing on its application within the game development domain has been notably scarce.”
Searching for the Non-Consequential: Dialectical Activities in HCI and the Limits of Computers
Zhang, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641945 · Cited by 12 · see citing works
Perera, M., Ananthanarayan, S., Goncu, C., & Marriott, K. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713634 · Cited by 14 · see citing works
Generative AI in Game Development: A Qualitative Research Synthesis
Ternar, D.-A., Denisova, A., Cunha, J. M., Kultima, A., & Guckelsberger, C. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791206 · Cited by 6 · see citing works
“Google’s latest Gemini 2.5 model adds advanced multimodal reasoning, allowing integration of text, image, and audio in design workflows [24, 50].”
InfluentialGenerative AI in Game Development: A Qualitative Research Synthesis
Ternar, A., Denisova, A., Cunha, J. M., Kultima, A., & Guckelsberger, C. (2025) · arXiv
“Google’s latest Gemini 2.5 model adds advanced multimodal reasoning, allowing integration of text, image, and audio in design workflows [24, 50].”
Influential
- Authors
- Inie, N., Falk, J., & Tanimoto, S.
- Affiliations
- IT University of Copenhagen (DK)
- University of Salzburg (AT)
- Paul G. Allen School of Computer Science & Engineering, University of Washington, United States
- Venue
- Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2023-04-19
- Pages
- 1-8
- OpenAlex
- W4366597496
- Cited by
- 137
- References
- 15
- Citations by year
- 2026: 30 · 2025: 57 · 2024: 43 · 2023: 7
- FWCI
- 40.10
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- IT University Of Copenhagen (IT University of Copenhagen) (submittedVersion, other-oa)
- arXiv (Cornell University) (cc-by)
- Funders
- Austrian Science Fund (P34226-N)
- Villum Fonden (37176)
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- generative AI, participatory AI, creative workers, creativity, AI design
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