摘要、要点与行动项：基于大语言模型的会议回顾系统的设计、实现与评估
Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system
AI总结：
针对固定长度会议摘要难以满足多样化需求的问题，结合认知科学与话语理论设计两种互补的会议回顾形式，落地为基于对话摘要的高保真原型并经7名微软用户验证有效，提出相关设计启示。
摘要：
会议在协调工作中发挥着关键的基础性作用。近期计算机媒介空间中混合与远程会议的激增带来了新问题（例如花更多时间参与吸引力更低的会议），也带来了新机遇（例如自动转录/字幕生成与回顾支持）。对话摘要技术的进步为改善会后体验提供了可能，但固定长度的摘要往往无法满足多样化需求，比如快速概览或深度洞察。为填补这些空白，我们结合认知科学与话语理论，构想了两种回顾设计：重要要点，以及结构化的分层会议纪要视图，二者针对互补的回顾需求。我们利用对话摘要技术将这些呈现形式落地为高保真原型。最后，我们在微软的工作会议场景中，针对7名用户评估了这些呈现形式的有效性。结果表明，两种回顾类型在不同场景下均有价值，可通过讨论与共识构建促进协作。对用户在回顾中添加、编辑、删除行为的意义探究显示，利用这些操作优化AI生成回顾的适配程度存在差异。我们提出的设计启示，比如在回顾中整合组织工件（例如关联演示文稿）以及个性化上下文，推动了组织工作中有效回顾设计的相关讨论，也印证了认知研究的过往结论。
英文摘要：
Meetings play a critical infrastructural role in coordinating work. The recent surge of hybrid and remote meetings in computer-mediated spaces has led to new problems (e.g., more time spent in less engaging meetings) and new opportunities (e.g., automated transcription/captioning and recap support). Advances in dialogue summarization offer the potential for improving post-meeting experiences, but fixed-length summaries often fail to meet diverse needs, such as quick overviews or detailed insights. To address these gaps, we use cognitive science and discourse theories to conceptualize two recap designs: important highlights and a structured, hierarchical minutes view, targeting complementary recap needs. We operationalize these representations into high-fidelity prototypes using dialogue summarization. Finally, we evaluate the representations' effectiveness with seven users in the context of their work meetings at Microsoft. Our results show both recap types are valuable in different contexts, enabling collaboration through discussions and consensus-building. Exploring the meaning of users adding, editing, and deleting from recaps suggests varying alignment for using these actions to improve AI-recap. Our design implications, such as incorporating organizational artifacts (e.g., linking presentations) in recaps and personalizing context, advance the discourse of effective recap designs for organizational work and support past results from cognition studies.
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。
