用不可靠的AI聊天机器人在博物馆搞批判性游戏，让历史对话更有趣。
If These Walls Could Talk: Critical Play with Large Language Models in Museums
- 将LLM设计为不可靠但生动的历史角色，模拟真实对话
- 保留趣味性的同时展现多元历史叙事与话语风格
- 适合对历史教育、交互体验感兴趣的博物馆设计者
大型语言模型（LLMs）正被用于博物馆中作为角色扮演聊天机器人，让游客与过去的人物和文物进行对话。尽管这类装置富有玩趣且引人入胜，但其根本问题在于：LLMs无法保证真实性。本文指出一个核心矛盾：若强化其可信度，会损害其原本吸引人的拟人化对话能力。为此，提出‘批判性游戏’设计思路——打造虽不可靠却仍能以恰当方式呈现历史叙事、话语风格、多元视角、幽默与讽刺的虚构角色型聊天机器人，实现娱乐与深度的平衡。
原文摘要 · Abstract (English)
Large Language Models (LLMs) are increasingly being used in museums to as role playing chatbots which let visitors talk to simulated versions of people and artefacts from the past. While such installations can be playful and engaging, they are also problematic because LLMs cannot be trusted to speak truthfully. I identify a fundamental dilemma for the use of LLMs in museum chatbots: LLMs cannot be trusted to tell the truth, and efforts to make them more reliable may ruin that which is attractive about the bots in the first place - their ability to engage in life-like conversation. In response, I propose designing for critical play with LLM-based bots: Designing for playful interactions with bots that are unreliable but still able to represent the past in an adequate and engaging manner - as fictional characters representing historical narratives, styles of discourse, diverse perspectives, humor and satire.
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