AI 中文总结
研究旨在解决面对面小团体对话有效支持信息的设计生成问题，提出ChatMuse系统，它能分析参与者线索并提供实时指导，利用用户行为反应改进支持能力，通过受试者内研究证明了该系统在协助小团体对话方面的可行性和有效性。
AI 中文摘要
面对面的小团体对话在日常生活的各个方面都有发生，对社交互动至关重要，但实现有效的面对面团体对话具有挑战性且对认知要求较高。虽然近期的混合现实（MR）头戴设备有望通过叠加呈现相关信息来支持对话，但不清楚如何为面对面团体对话设计和生成此类支持信息。我们提出了ChatMuse，一种用于面对面小团体对话体验的新型基于MR的主动辅助系统。它分析所有对话参与者的言语和非言语线索，为用户的言语和非言语行为提供实时指导，并利用用户的行为反应来改进后续交互中的支持能力。我们进行了一项受试者内研究来评估和证明ChatMuse在协助用户参与和促进面对面小团体对话方面的可行性和有效性。我们围绕ChatMuse的研究代表了对一个新交互空间的设计探索，该探索通过MR中的主动辅助人工智能代理研究支持面对面小团体对话的可行性。
英文摘要
In-person small-group conversations occur across nearly every aspect of daily life and play a crucial role in social interaction. However, achieving effective in-person group conversations can be challenging and cognitively demanding. While recent Mixed Reality (MR) headsets show promise as a conversational support system by presenting relevant information through overlays, it remains unclear how such supporting information should be designed and generated for in-person group conversations. We propose ChatMuse, a novel MR-based proactive assistive system for in-person small-group conversation experience. ChatMuse analyzes verbal and non-verbal cues from all conversation participants and proactively provides real-time guidance on the user's verbal and non-verbal behaviors. The behavioral responses of the supported users are then used to improve ChatMuse's support capabilities in subsequent interactions. We conducted a within-subject study to evaluate and demonstrate the feasibility and effectiveness of ChatMuse in assisting users to engage in and contribute to in-person small-group conversations. Our research around ChatMuse represents a design exploration of a new interaction space that investigates the feasibility of supporting in-person small-group conversations through a proactive assistive AI agent in MR.
Comments19 pages, 9 figures, 4 tables, Proceedings of the 39th Annual ACM Symposium on User Interface Software and Technology (UIST '26), Detroit, MI, USA
