Pan Ye

Pan Ye's research investigates how a multi-view, multi-site video conferencing system can exploit eye-tracking information. The main technical work will be in building example teleconferencing systems using high-definition video which incorporate eye-tracking. There will also be substantial human-computer interaction-based analysis of group interaction.

Whilst current video conferencing systems can support collaboration at a distance, even high-end systems using high-definition video fail when the users don't pay attention to the spatial configuration of the screen, cameras and the users' own positions. The most obvious way that this manifests is when users misunderstand each others' eye gaze. A new class of video conferencing system is emerging that use multiple video views, and which can track user's movements. In this research we will investigate how a multi-view, multi-site video conferencing system can exploit eye-tracking information. The main technical work will be in building example teleconferencing systems using high-definition video which incorporate eye-tracking. There will also be substantial human-computer interaction-based analysis of group interaction.

Supervisor1: Prof Anthony Steed

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