CALYPSO: LLMs作为Dungeon Master的助手

Andrew Zhu, Lara Martin, Andrew Head, Chris Callison-Burch
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引用次数: 0

摘要

Dungeon Master (DM)在游戏《Dungeons &》中的角色龙是同时执行多个任务。DM必须消化有关游戏背景和怪物的信息,合成呈现给其他玩家的场景,并对玩家与场景的互动做出回应。在保持叙事和故事世界的一致性的同时完成所有这些任务是人类认知的一大壮举,这会让新玩家感到厌倦和难以接近。像GPT-3和ChatGPT这样的大型语言模型(llm)在生成连贯的自然语言文本方面表现出了非凡的能力。在本文中,我们对法学硕士进行了形成性评估,以建立法学硕士在研发和桌面游戏中的用例。我们介绍CALYPSO,一个由llm驱动的接口系统,它支持dm提供特定于他们自己场景的信息和灵感。CALYPSO将游戏背景提炼成简短的散文,并在不分散DM注意力的情况下帮助他们集思广益。当DM使用CALYPSO时,他们报告说它生成了适合直接呈现给玩家的高保真文本,以及DM可以在保持创意代理的同时进一步发展的低保真理念。我们认为CALYPSO是人工智能增强工具的典范,它在已建立的游戏世界和更广泛的桌面游戏中提供同步创意协助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CALYPSO: LLMs as Dungeon Master's Assistants
The 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.
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