Verbal behavior of the more and the less influential meeting participant

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    Abstract

    Argumentation can be defined as a social, intellectual, verbal activity that serves to justify or to refute an opinion, consisting of a constellation of statements and that is directed towards obtaining the approbation of an audience. It is not unlikely to expect a relationship between the phenomena of argumentation and influence. The aim of this paper is to test the strength of the relationship between the way that people behave in a discussion and their perceived level of influence on the basis of some empirical grounds. Using the data sources that were collected from the AMI corpus for experiments in the areas of argumentation, dialogue-act, and influence research statistical dependencies and (cor)relations between the tags are mined for possible relationships. We report about the relationships that were found and how they can be used to construct a tentative profile of how influential participants, as experienced by actual meeting participants, distinguish themselves from less influential participants.
    Original languageUndefined
    Title of host publicationProceedings Workshop on Tagging, Mining and Retrieval of Human Related Activity Information
    EditorsP. Barthelmess, E. Kaiser
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages2-9
    Number of pages8
    ISBN (Print)978-1-59593-870-1
    DOIs
    Publication statusPublished - 15 Nov 2007

    Publication series

    Name
    PublisherACM
    NumberSTW 200709

    Keywords

    • EWI-11184
    • IR-61956
    • METIS-245740
    • HMI-MI: MULTIMODAL INTERACTIONS
    • EC Grant Agreement nr.: FP6/033812

    Cite this

    Rienks, R. J., Nijholt, A., & Heylen, D. K. J. (2007). Verbal behavior of the more and the less influential meeting participant. In P. Barthelmess, & E. Kaiser (Eds.), Proceedings Workshop on Tagging, Mining and Retrieval of Human Related Activity Information (pp. 2-9). [10.1145/1330588.1330589] New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/1330588.1330589