HCJul 13, 2021

LookAtChat: Visualizing Gaze Awareness for Remote Small-Group Conversations

arXiv:2107.06265v3
Originality Incremental advance
AI Analysis

This addresses the challenge of remote communication for users of videoconferencing systems by enhancing gaze awareness, though it is incremental as it builds on existing eye-tracking technology.

The authors tackled the problem of missing nonverbal cues like gaze and spatial information in video conferences by introducing LookAtChat, a web-based system that uses real-time eye-tracking to visualize gaze awareness in small-group conversations, with findings from a user study (N=20) showing improved conversation quality.

Video conferences play a vital role in our daily lives. However, many nonverbal cues are missing, including gaze and spatial information. We introduce LookAtChat, a web-based video conferencing system, which empowers remote users to identify gaze awareness and spatial relationships in small-group conversations. Leveraging real-time eye-tracking technology available with ordinary webcams, LookAtChat tracks each user's gaze direction, identifies who is looking at whom, and provides corresponding spatial cues. Informed by formative interviews with 5 participants who regularly use videoconferencing software, we explored the design space of gaze visualization in both 2D and 3D layouts. We further conducted an exploratory user study (N=20) to evaluate LookAtChat in three conditions: baseline layout, 2D directional layout, and 3D perspective layout. Our findings demonstrate how LookAtChat engages participants in small-group conversations, how gaze and spatial information improve conversation quality, and the potential benefits and challenges to incorporating gaze awareness visualization into existing videoconferencing systems.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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