Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetings by augmenting intentional meeting behaviors. CoExplorer, our novel adaptive meeting prototype, preemptively generates likely phases that meetings would undergo, tools that allow capturing attendees' thoughts before the meeting, and for each phase, window layouts, and appropriate applications and files. Using CoExplorer as a technology probe in a guided walkthrough, we studied its potential in a sample of participants from a global technology company. Our findings suggest that GenAI has the potential to help meetings stay on track and reduce workload, although concerns were raised about users' agency, trust, and possible disruption to traditional meeting norms. We discuss these concerns and their design implications for the development of GenAI meeting technology.

翻译：高效会议需要付出大量努力，但传统视频会议系统在降低整个会议生命周期的工作负荷方面提供的支持有限。生成式人工智能（GenAI）有望通过增强意向性会议行为彻底重新定义会议体验。我们提出的新型自适应会议原型CoExplorer能够预先生成会议可能经历的阶段、支持与会者在会前记录想法的工具，并为每个阶段提供窗口布局、适配的应用程序及文件建议。通过将CoExplorer作为技术探针进行引导式走查研究，我们在某全球科技公司的参与者样本中探索了其应用潜力。研究结果表明，尽管用户对自主性、信任度以及可能对传统会议规范造成的干扰存在担忧，但GenAI确实具备帮助会议保持正轨并减轻工作负荷的潜力。我们针对这些关切点及其对GenAI会议技术发展的设计启示进行了深入讨论。