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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.

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This study introduces CWcollab, a multimedia collaboration platform designed for efficient remote conferencing and presentation. CWcollab offers enhanced interactivity and significantly reduced bandwidth consumption compared to existing tools.

Keywords:
MultimediaPresentationReal-time collaborationWeb browser

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Area of Science:

  • Computer Science
  • Human-Computer Interaction

Background:

  • Remote collaboration tools are crucial, especially during the COVID-19 pandemic.
  • Existing tools often suffer from limited media support, poor interactivity, and high bandwidth usage.

Purpose of the Study:

  • To propose CWcollab, a general-purpose multimedia collaboration platform.
  • To address the limitations of current remote collaboration tools.

Main Methods:

  • Developed CWcollab supporting general multimedia collaboration.
  • Utilized simple messages for media controls and an object-prioritized synchronization approach.
  • Implemented features for fine-grained collaboration and event replay.

Main Results:

  • CWcollab supports accurate, fine-grained multimedia collaboration.
  • Efficient replay mechanisms for collaboration events are provided.
  • Collaboration session data storage requires only kilobytes, drastically less than tools like Google Meet (megabytes).

Conclusions:

  • CWcollab offers a superior solution for remote multimedia collaboration.
  • The platform enhances interactivity and significantly reduces bandwidth requirements.
  • The object-prioritized synchronization approach enables efficient data handling and replay functionality.