Supporting Engagement and Floor Control in Hybrid Meetings

Hendrikus J.A. op den Akker, D.H.W. Hofs, G.H.W. Hondorp, Harm op den Akker, Jakob Zwiers, Antinus Nijholt

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    9 Citations (Scopus)

    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.
    Original languageUndefined
    Title of host publicationCross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions
    EditorsAnna Esposito, Robert Vich
    Place of PublicationBerlin
    PublisherSpringer
    Pages276-290
    Number of pages15
    ISBN (Print)978-3-642-03319-3
    DOIs
    Publication statusPublished - 14 Jul 2009

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume5641
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Keywords

    • HMI-MI: MULTIMODAL INTERACTIONS
    • EC Grant Agreement nr.: FP6/0033812
    • METIS-265736
    • IR-67693
    • EWI-14716

    Cite this

    op den Akker, H. J. A., Hofs, D. H. W., Hondorp, G. H. W., op den Akker, H., Zwiers, J., & Nijholt, A. (2009). Supporting Engagement and Floor Control in Hybrid Meetings. In A. Esposito, & R. Vich (Eds.), Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions (pp. 276-290). [10.1007/978-3-642-03320-9_26] (Lecture Notes in Computer Science; Vol. 5641). Berlin: Springer. https://doi.org/10.1007/978-3-642-03320-9_26