Static Vs. Agentic Game Master AI for Facilitating Solo Role-Playing Experiences
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909528496275456 |
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| author | Jørgensen, Nicolai Hejlesen Tharmabalan, Sarmilan Aslan, Ilhan Hansen, Nicolai Brodersen Merritt, Timothy |
| author_facet | Jørgensen, Nicolai Hejlesen Tharmabalan, Sarmilan Aslan, Ilhan Hansen, Nicolai Brodersen Merritt, Timothy |
| contents | This paper presents a game master AI for single-player role-playing games. The AI is designed to deliver interactive text-based narratives and experiences typically associated with multiplayer tabletop games like Dungeons & Dragons. We report on the design process and the series of experiments to improve the functionality and experience design, resulting in two functional versions of the system. While v1 of our system uses simplified prompt engineering, v2 leverages a multi-agent architecture and the ReAct framework to include reasoning and action. A comparative evaluation demonstrates that v2 as an agentic system maintains play while significantly improving modularity and game experience, including immersion and curiosity. Our findings contribute to the evolution of AI-driven interactive fiction, highlighting new avenues for enhancing solo role-playing experiences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_19519 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Static Vs. Agentic Game Master AI for Facilitating Solo Role-Playing Experiences Jørgensen, Nicolai Hejlesen Tharmabalan, Sarmilan Aslan, Ilhan Hansen, Nicolai Brodersen Merritt, Timothy Human-Computer Interaction Artificial Intelligence This paper presents a game master AI for single-player role-playing games. The AI is designed to deliver interactive text-based narratives and experiences typically associated with multiplayer tabletop games like Dungeons & Dragons. We report on the design process and the series of experiments to improve the functionality and experience design, resulting in two functional versions of the system. While v1 of our system uses simplified prompt engineering, v2 leverages a multi-agent architecture and the ReAct framework to include reasoning and action. A comparative evaluation demonstrates that v2 as an agentic system maintains play while significantly improving modularity and game experience, including immersion and curiosity. Our findings contribute to the evolution of AI-driven interactive fiction, highlighting new avenues for enhancing solo role-playing experiences. |
| title | Static Vs. Agentic Game Master AI for Facilitating Solo Role-Playing Experiences |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2502.19519 |