Supporting Engagement and Floor Control in Hybrid Meetings

Authors:
Rieks Akker;Dennis Hofs;Hendri Hondorp;Harm Akker;Job Zwiers;Anton Nijholt
Affiliations:
Human Media Interaction Group, University of Twente, Enschede, The Netherlands 7500;Human Media Interaction Group, University of Twente, Enschede, The Netherlands 7500;Human Media Interaction Group, University of Twente, Enschede, The Netherlands 7500;Human Media Interaction Group, University of Twente, Enschede, The Netherlands 7500;Human Media Interaction Group, University of Twente, Enschede, The Netherlands 7500;Human Media Interaction Group, University of Twente, Enschede, The Netherlands 7500
Venue:
Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions
Year:
2009

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Abstract

Remote participants in hybrid meetings often have problems to follow what is going on in the (physical) meeting room they are connected with. This paper describes a videoconferencing system for participation in hybrid meetings. The system has been developed as a research vehicle to see how technology based on automatic real-time recognition of conversational behavior in meetings can be used to improve engagement and floor control by remote participants. The system uses modules for online speech recognition, real-time visual focus of attention as well as a module that signals who is being addressed by the speaker. A built-in keyword spotter allows an automatic meeting assistant to call the remote participant's attention when a topic of interest is raised, pointing at the transcription of the fragment to help him catch-up.