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Updated: Aug 31, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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CWcollab: Presenting multimedia with web-based context-aware collaboration
Chunxu Tang1, Beinan Wang2, C Y Roger Chen3
1Twitter Inc., 1355 Market Street, San Francisco, United States.
Abstract:
Remote collaboration tools for conferencing and presentation are gaining significant popularity during the COVID-19 pandemic period. Most prior work has drawbacks, such as a) limited support for media types, b) lack of interactivity, for example, an efficient replay mechanism, c) large bandwidth consumption for screen sharing tools. In this paper, we propose a general-purpose multimedia collaboration platform-CWcollab. It supports collaboration on general multimedia by using simple messages to represent media controls with an object-prioritized synchronization approach. Thus, CWcollab can not only support fine-grained accurate collaboration, but also rich functionalities such as replay of these collaboration events. The evaluation shows hundreds of kilobytes can be enough to store the events in a collaboration session for accurate replays, compared with hundreds of megabytes of Google Meet.
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