eyeView: focus+context views for large group video conferences

In this paper, we describe the design of eyeView, a video conferencing system that uses participant looking behavior to determine the size of online video conferencing windows. The system uses an elastic windowing algorithm that enlarges the image of the person most looked at by others, while maintaining a contextual view of other remote participants. eyeView measures interest by gauging whom participants look at using an eye tracker embedded in the display. Users can enter side conversations by looking at each other, and pressing the space bar. Cocktail-party filtering is aided by attenuating audio sources outside the social network constituted by glances between participants. By allocating both screen and audio real estate according to the joint attention of participants, eyeView supports smooth allocation of focus on the speaker, while maintaining awareness of the group. Keywords Computer Supported Cooperative Work, Attentive User Interfaces, Eye Tracking, Video Conferencing. ACM C...

• Type: Conference
• Year: 2005
• Where: CHI
• Authors: Tracy Jenkin, Jesse McGeachie, David Fono, Roel Vertegaal
• Keywords: ACM Classification Keywords, Attentive User Interfaces, CHI 2005, Human Computer Interaction, Video Conferencing Windows