CHOIR：一种通过交流利用组织记忆的聊天机器人，用于大学研究实验室
CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs
AI总结：
CHOIR是一种基于大语言模型的聊天机器人，通过四个核心功能帮助大学研究实验室管理组织记忆，解决文档维护和隐私保护的挑战。
摘要：
大学研究实验室常依赖基于聊天的平台进行沟通和项目管理，其中有价值的知识显现但容易在信息流中被丢失。文档可以保存知识，但需要持续维护且难以导航。基于形成性访谈揭示了实验室中的组织记忆挑战，我们设计了CHOIR，一种基于大语言模型的聊天机器人，通过四个关键功能支持组织记忆：基于文档的问答、问答分享以进行后续讨论、从对话中提取知识，以及AI辅助的文档更新。我们部署了CHOIR在四个研究实验室中一个月（n=21），实验室成员提出了107个问题，实验室主任在组织记忆中更新了文档38次。我们的发现揭示了一种隐私意识的张力：问题被私下提出，限制了主任对文档缺口的可见性。学生往往由于将个人经验一般化为通用文档的困难而避免贡献。我们为隐私保护意识和支持情境特定知识文档化提供了设计启示。
英文摘要：
University research labs often rely on chat-based platforms for communication and project management, where valuable knowledge surfaces but is easily lost in message streams. Documentation can preserve knowledge, but it requires ongoing maintenance and is challenging to navigate. Drawing on formative interviews that revealed organizational memory challenges in labs, we designed CHOIR, an LLM-based chatbot that supports organizational memory through four key functions: document-grounded Q\&A, Q\&A sharing for follow-up discussion, knowledge extraction from conversations, and AI-assisted document updates. We deployed CHOIR in four research labs for one month (n=21), where the lab members asked 107 questions and lab directors updated documents 38 times in the organizational memory. Our findings reveal a privacy-awareness tension: questions were asked privately, limiting directors' visibility into documentation gaps. Students often avoided contribution due to challenges in generalizing personal experiences into universal documentation. We contribute design implications for privacy-preserving awareness and supporting context-specific knowledge documentation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
