CrossTalk：面向视频通信与协作中语言导向交互的智能基底
CrossTalk: Intelligent Substrates for Language-Oriented Interaction in Video-Based Communication and Collaboration
AI总结：
本文提出CrossTalk视频会议系统，通过面板基底、语言意图识别和轻量级交互技术，将智能主动融入通信协作，实现更流畅灵活的交互体验。
摘要：
尽管视频会议和虚拟现实等数字通信媒体取得了进步并已无处不在，但它们仍然无法感知用户表达的丰富意图。除了传输音频、视频和消息之外，我们设想数字通信媒体能够成为主动的促进者，提供不引人注目的辅助，以增强通信与协作。基于一项形成性研究的结果，我们提出了三个关键设计概念，以探索将智能系统性地整合到通信与协作中，包括面板基底、基于语言的意图识别以及轻量级交互技术。我们开发了 CrossTalk，一个实例化这些概念的视频会议系统，研究发现该系统能够带来更流畅、更灵活的通信与协作体验。
英文摘要：
Despite the advances and ubiquity of digital communication media such as videoconferencing and virtual reality, they remain oblivious to the rich intentions expressed by users. Beyond transmitting audio, videos, and messages, we envision digital communication media as proactive facilitators that can provide unobtrusive assistance to enhance communication and collaboration. Informed by the results of a formative study, we propose three key design concepts to explore the systematic integration of intelligence into communication and collaboration, including the panel substrate, language-based intent recognition, and lightweight interaction techniques. We developed CrossTalk, a videoconferencing system that instantiates these concepts, which was found to enable a more fluid and flexible communication and collaboration experience.
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。
