用语音聊天机器人让博物馆展览更互动，游客问什么答什么。
How to Make Museums More Interactive? Case Study of Artistic Chatbot
- 基于RAG的语音对话系统，用226份专业资料回答波兰语问题。
- 60%的回答直接关联展览内容，即使问题超出预期范围也保持相关。
- 适合想提升博物馆互动体验的研究者和策展人参考。
由大语言模型驱动的对话代理在教育场景中日益普及，尤其在封闭的数字环境中，但在博物馆等实体文化场所的应用仍较少。本研究提出艺术聊天机器人（Artistic Chatbot），一个支持语音输入与输出的RAG系统，用于波兰华沙美术学院媒体艺术学院15周年艺术展览中的非正式学习与观众参与。该问答系统通过从主办方提供的226份定制化领域知识文档（包括学院信息、艺术杂志、书籍和期刊）中检索上下文，以波兰语响应自由形式的口语提问。本文描述了系统架构与用户交互设计的关键要素，并讨论了在公共文化场所部署聊天机器人的实际挑战。基于交互分析发现，尽管面临非目标域的不可预测问题，该聊天机器人仍能有效保持60%的回答与展览内容直接相关，展现出在公共文化场所提升互动性的潜力。项目开源地址：https://github.com/cinekucia/artistic-chatbot-cikm2025
原文摘要 · Abstract (English)
Conversational agents powered by Large Language Models (LLMs) are increasingly utilized in educational settings, in particular in individual closed digital environments, yet their potential adoption in the physical learning environments like cultural heritage sites, museums, and art galleries remains relatively unexplored. In this study, we present Artistic Chatbot, a voice-to-voice RAG-powered chat system to support informal learning and enhance visitor engagement during a live art exhibition celebrating the 15th anniversary of the Faculty of Media Art at the Warsaw Academy of Fine Arts, Poland. The question answering (QA) chatbot responded to free-form spoken questions in Polish using the context retrieved from a curated, domain-specific knowledge base consisting of 226 documents provided by the organizers, including faculty information, art magazines, books, and journals. We describe the key aspects of the system architecture and user interaction design, as well as discuss the practical challenges associated with deploying chatbots at public cultural sites. Our findings, based on interaction analysis, demonstrate that chatbots such as Artistic Chatbot effectively maintain responses grounded in exhibition content (60\% of responses directly relevant), even when faced with unpredictable queries outside the target domain, showing their potential for increasing interactivity in public cultural sites. GitHub project page: https://github.com/cinekucia/artistic-chatbot-cikm2025
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。