The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
ChatGPT GameJam: Unleashing the power of Large Language Models for Game Jams
Open accessAbstract
Recently Large Language Models (LLMs) have captivated the imagination in many different fields. OpenAI’s ChatGPT, offered the first highly accessible LLM to the users and has seen phenomenal growth since its release in November 2022. While AI tools have always been part of game design and game development, now ChatGPT offers users perhaps for the first time, the ability to create a variety of novel games either entirely or partly by writing a text prompt. ChatGPT is a game jam that embraces and explores LLM-based game production while at the same time providing some insights about the current capabilities and shortcomings of the process. In this paper we report on the process and lessons learned from organizing the first ChatGPT Game Jam – held in May 2023.
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“Post-event reflections revealed benefits of faster idea generation, but also a reduced sense of authorship.”
From Generative AI in Game Development: A Qualitative Research Synthesis (2026) · cites this paper as [21]
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“In contrast to previous pipelines, this context prioritised rapid prototyping and improvisation, allowing participants to explore unconventional uses of GenAI.”
From Generative AI in Game Development: A Qualitative Research Synthesis (2026) · cites this paper as [21]
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“Studying a ChatGPT-based game jam, Grow and Khosmood [21] offer an even more time-constrained perspective.”
From Generative AI in Game Development: A Qualitative Research Synthesis (2026) · cites this paper as [21]
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Cites
Human Language Understanding & Reasoning
Manning, C. D. (2022) · Daedalus · doi:10.1162/daed_a_01905 · Cited by 193
Lai, G., Kultima, A., Khosmood, F., et al. (2021) · doi:10.1145/3472688.3472689 · Cited by 25
Self-citationKaitila, C. (2012) · CERN Document Server (European Organization for Nuclear Research) · Cited by 21
Steinke, T., Linsenbard, M., Fiske, E., et al. (2016) · doi:10.1145/2897167.2897173 · Cited by 20
Social network analysis of the global game jam network
Pirker, J., Khosmood, F., & Gütl, C. (2017) · doi:10.1145/3055116.3055117 · Cited by 14
Self-citationGame Jams – History, Technology, and Organisation
Fowler, A., & Khosmood, F. (2022) · Springer eBooks · doi:10.1007/978-3-031-15187-3 · Cited by 7
Self-citation
Research works printed but not linked: 2
- Andrea Agostinelli Timo I. Denk Zalán Borsos Jesse Engel Mauro Verzetti Antoine Caillon Qingqing Huang Aren Jansen Adam Roberts Marco Tagliasacchi Matt Sharifi Neil Zeghidour and Christian Frank. 2023. MusicLM: Generating Music From Text. arxiv:2301.11325 [cs.SD] Andrea Agostinelli Timo I. Denk Zalán Borsos Jesse Engel Mauro Verzetti Antoine Caillon Qingqing Huang Aren Jansen Adam Roberts Marco Tagliasacchi Matt Sharifi Neil Zeghidour and Christian Frank. 2023. MusicLM: Generating Music From Text. arxiv:2301.11325 [cs.SD] · arXiv
- Annakaisa Kultima . 2015 . Defining Game Jam . In Proceedings of the 10th International Conference on the Foundations of Digital Games, FDG 2015 , Pacific Grove, CA, USA , June 22-25, 2015, José P. Zagal, Esther MacCallum-Stewart, and Julian Togelius (Eds.). Society for the Advancement of the Science of Digital Games. http://www.fdg2015.org/papers/fdg2015_paper_21.pdf Annakaisa Kultima. 2015. Defining Game Jam. In Proceedings of the 10th International Conference on the Foundations of Digital Games, FDG 2015, Pacific Grove, CA, USA, June 22-25, 2015, José P. Zagal, Esther MacCallum-Stewart, and Julian Togelius (Eds.). Society for the Advancement of the Science of Digital Games. http://www.fdg2015.org/papers/fdg2015_paper_21.pdf
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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
“Studying a ChatGPT-based game jam, Grow and Khosmood [21] offer an even more time-constrained perspective.”
Generative AI in Game Development: A Qualitative Research Synthesis
Ternar, A., Denisova, A., Cunha, J. M., Kultima, A., & Guckelsberger, C. (2025) · arXiv
“Studying a ChatGPT-based game jam, Grow and Khosmood [21] offer an even more time-constrained perspective.”
Metadata
- Authors
- Grow, A. M., & Khosmood, F.
- Affiliations
- California Polytechnic State University (US)
- Venue
- Proceedings of the 7th International Conference on Game Jams, Hackathons and Game Creation Events
- Publisher
- ACM
- Published
- 2023-08-30
- Pages
- 51-54
- OpenAlex
- W4386133028
- Cited by
- 9
- References
- 6
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 5
- FWCI
- 1.60
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Conference on Game Jams, Hackathons, and Game Creation Events (ICGJ) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence in Games
- Social Sciences › Sociology and Political Science › Digital Games and Media
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- ChatGPT, large language models, game jams, game development
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