Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT
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Abstract (arXiv)
In this paper, we present a novel approach using the Auto GPT system alongside Design Sprint methodology to facilitate board game creation for inexperienced users. We introduce the implementation of Auto GPT for generating diverse board games and the subsequent optimization process through a customized Design Sprint. A user study is conducted to investigate the playability and enjoyment of the generated games, revealing both successes and challenges in employing systems like Auto GPT for board game design. Insights and future research directions are proposed to overcome identified limitations and enhance computational-driven game creation.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Jul 2023.
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Citing papers per year: 2024: 3; 2025: 1.
4 papers.
- 2024Large Language Models and Games: A Survey and Roadmapcited by 93
- 2025Position: Interactive Generative Video as Next-Generation Game Enginecited by 13
- 2024GPT for Games: A Scoping Review (2020-2023)cited by 10
- 2024GPT for Games: An Updated Scoping Review (2020-2024)cited by 10
- 2025Position: Interactive Generative Video as Next-Generation Game Engine21 Mar 2025
- 2024GPT for Games: An Updated Scoping Review (2020-2024)1 Nov 2024
- 2024GPT for Games: A Scoping Review (2020-2023)27 Apr 2024
- 2024Large Language Models and Games: A Survey and Roadmap28 Feb 2024