CALYPSO: LLMs as Dungeon Masters' Assistants

dc.contributor.authorZhu, Andrew
dc.contributor.authorMartin, Lara J.
dc.contributor.authorHead, Andrew
dc.contributor.authorCallison-Burch, Chris
dc.date.accessioned2023-09-05T15:12:24Z
dc.date.available2023-09-05T15:12:24Z
dc.date.issued2023-10-06
dc.descriptionThe 19th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Salt Lake City, UT, USA; October 08 ‒ 12, 2023en_US
dc.description.abstractThe role of a Dungeon Master, or DM, in the game Dungeons & Dragons is to perform multiple tasks simultaneously. The DM must digest information about the game setting and monsters, synthesize scenes to present to other players, and respond to the players' interactions with the scene. Doing all of these tasks while maintaining consistency within the narrative and story world is no small feat of human cognition, making the task tiring and unapproachable to new players. Large language models (LLMs) like GPT-3 and ChatGPT have shown remarkable abilities to generate coherent natural language text. In this paper, we conduct a formative evaluation with DMs to establish the use cases of LLMs in D&D and tabletop gaming generally. We introduce CALYPSO, a system of LLM-powered interfaces that support DMs with information and inspiration specific to their own scenario. CALYPSO distills game context into bite-sized prose and helps brainstorm ideas without distracting the DM from the game. When given access to CALYPSO, DMs reported that it generated high-fidelity text suitable for direct presentation to players, and low-fidelity ideas that the DM could develop further while maintaining their creative agency. We see CALYPSO as exemplifying a paradigm of AI-augmented tools that provide synchronous creative assistance within established game worlds, and tabletop gaming more broadly.en_US
dc.description.sponsorshipThis material is based upon work supported by the National Science Foundation under Grant #2030859 to the Computing Research Association for the CIFellows Project.en_US
dc.description.urihttps://ojs.aaai.org/index.php/AIIDE/article/view/27534en_US
dc.format.extent11 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2tmd0-lakj
dc.identifier.citationZhu, Andrew, Lara Martin, Andrew Head, and Chris Callison-Burch. 2023. “CALYPSO: LLMs As Dungeon Master’s Assistants”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 19 (1):380-90. https://doi.org/10.1609/aiide.v19i1.27534.
dc.identifier.urihttps://doi.org/10.1609/aiide.v19i1.27534
dc.identifier.urihttp://hdl.handle.net/11603/29530
dc.language.isoen_USen_US
dc.publisherAAAI
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.titleCALYPSO: LLMs as Dungeon Masters' Assistantsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-0623-599Xen_US

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