AI 中文总结
本研究设计实现了Novecs系统，通过实时反馈帮助18名知识工作者提升在线会议中的自我呈现，探讨了相关设计机遇与挑战。
AI 中文摘要
知识工作者在在线会议中通过非语言线索恰当表达自我可能存在挑战。自动非语言线索检测技术有潜力通过实时反馈支持工作者的自我呈现努力，但目前人们对工作者对此的反应及相关影响知之甚少。我们设计并实现了Novecs，作为一种实时反馈显示的技术探针，该显示可自动检测并提示用户自身的非语言线索，包括微笑、点头、注视和姿势。我们将Novecs部署在一项探索性实地研究中，研究对象共18人，用于支持知识工作者在日常会议中的自我呈现。研究后的访谈显示，Novecs的实时反馈有助于提升即时自我意识，且中立框架的反馈可帮助协调真实与非真实自我呈现之间的张力。参与者还强调了在会议中调整非语言线索时需自然的时机。我们探讨了实时非语言线索反馈系统的设计机遇与挑战，例如根据不同会议类型个性化反馈。
英文摘要
Expressing oneself appropriately in online meetings through non-verbal cues can be challenging for knowledge workers. Automatic non-verbal cue detection technologies have the potential to support workers' self-presentation efforts through real-time feedback, but little is known about workers' reactions to and the implications of doing so. We designed and implemented Novecs as a technology probe of a real-time feedback display that automatically detects and signals users' own non-verbal cues -- smiling, nodding, gaze, and posture. Novecs was deployed in an exploratory field study (n=18) to support knowledge workers' self-presentation in their everyday meetings. Post-study interviews reveal how Novecs' real-time feedback helped increase in-the-moment self-awareness, and how neutrally-framed feedback may help navigate tensions between authentic and in-authentic self-presentation. Participants also emphasized the need for natural timing when adjusting non-verbal cues in-meeting. We discuss design opportunities and challenges of real-time, non-verbal cue feedback systems, such as personalizing feedback based on different meeting types.
Comments28 pages, 7 figures. Published in Proceedings of the ACM on Human-Computer Interaction (PACMHCI), CSCW
Journal refProc. ACM Hum.-Comput. Interact. 9, 2, Article CSCW071 (May 2025), 28 pages
DOI：10.1145/3710969
