Detection and Application of Influence Rankings in Small Group Meetings

R.J. Rienks, Dong Zhang, Daniel Gatica-Perez, Wilfried Post

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

    65 Citations (Scopus)
    61 Downloads (Pure)

    Abstract

    We address the problem of automatically detecting participant's influence levels in meetings. The impact and social psychological background are discussed. The more influential a participant is, the more he or she influences the outcome of a meeting. Experiments on 40 meetings show that application of statistical (both dynamic and static) models while using simply obtainable features results in a best prediction performance of 70.59% when using a static model, a balanced training set, and three discrete classes: high, normal and low. Application of the detected levels are shown in various ways i.e. in a virtual meeting environment as well as in a meeting browser system.
    Original languageUndefined
    Title of host publicationProceedings of the Eighth International Conference on Multimodal Interfaces (ICMI’06)
    EditorsF. Kwek
    Place of PublicationNew York
    PublisherACM Press
    Pages257-264
    Number of pages8
    ISBN (Print)1-59593-541-X
    DOIs
    Publication statusPublished - Nov 2006
    Event8th International Conference on Multimodal Interfaces, ICMI 2006 - Banff, Canada
    Duration: 2 Nov 20064 Nov 2006
    Conference number: 8

    Publication series

    Name
    PublisherACM Press
    Number10

    Conference

    Conference8th International Conference on Multimodal Interfaces, ICMI 2006
    Abbreviated titleICMI
    CountryCanada
    CityBanff
    Period2/11/064/11/06

    Keywords

    • HMI-MI: MULTIMODAL INTERACTIONS
    • EC Grant Agreement nr.: FP6/506811
    • IR-66667
    • METIS-237664
    • EWI-8306

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