CrossTalk: Intelligent Substrates for Language-Oriented Interaction in Video-Based Communication and Collaboration
Haijun Xia, Tony Wang, Aditya Gunturu, Peiling Jiang, William Duan,, Xiaoshuo Yao

TL;DR
CrossTalk introduces intelligent substrates into videoconferencing systems to recognize user intentions and provide unobtrusive assistance, aiming to enhance communication fluidity and collaboration effectiveness.
Contribution
The paper presents a novel system, CrossTalk, integrating language-based intent recognition and lightweight interactions into video communication platforms.
Findings
Enables more fluid and flexible communication
Improves collaboration through proactive assistance
Validates design concepts through system implementation
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
