Controlling the listener response rate of virtual agents

I.A. de Kok, Dirk K.J. Heylen

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    1 Citation (Scopus)
    23 Downloads (Pure)

    Abstract

    This paper presents a novel way of interpreting the prediction value curves that are the output of the current state-of-the-art models in predicting generic listener responses for embodied conversational agents. Based on the time since the last generated listener response, the proposed dynamic thresholding approach varies the threshold that peaks in the prediction value curve need to exceed in order to be selected as a suitable place for a listener response. The proposed formula for this dynamic threshold includes a parameter which controls the response rate of the generated behavior. This gives the designer of the listening behavior of a virtual listener the tools to adapt the behavior to the situation, targeted role or personality of the virtual agent. We show that the generated behavior is more stable under changing conditions than the behavior of the traditional fixed threshold.
    Original languageUndefined
    Title of host publicationProceedings of the 13th International Conference on Intelligent Virtual Agents, IVA 2013
    EditorsRuth Aylett, Brigitte Krenn, Catherine Pelachaud, Hiroshi Shimodaira
    Place of PublicationBerlin
    PublisherSpringer
    Pages168-179
    Number of pages12
    ISBN (Print)978-3-642-40414-6
    DOIs
    Publication statusPublished - Aug 2013
    Event13th International Conference on Intelligent Virtual Agents, IVA 2013 - Edinburgh, United Kingdom
    Duration: 29 Aug 201331 Aug 2013
    Conference number: 13

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume8108
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference13th International Conference on Intelligent Virtual Agents, IVA 2013
    Abbreviated titleIVA
    CountryUnited Kingdom
    CityEdinburgh
    Period29/08/1331/08/13

    Keywords

    • EWI-23931
    • IR-88337
    • METIS-300138
    • HMI-IA: Intelligent Agents

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