When Do We Smile? Analysis and Modeling of the Nonverbal Context of Listener Smiles in Conversation

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

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

    4 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    In this paper we will look into reactive models for embodied conversational agents for generating smiling behavior. One trigger for smiling behaviour is smiling of the human interlocutor which is used in reactive models based on mimicry. However, other features might be useful as well. In order to develop such models we look at the nonverbal context of smiles in human-human conversation. We make a distinction between three types of smiles - amused, polite and embarrassed - and highlighted dierences in context where each type occurs in conversation. Using machine learning techniques we have build predictive models using the nonverbal contextual features analyzed. Results show that reactive models can oer an interesting contribution to the generation of smiling behaviors.
    Original languageUndefined
    Title of host publicationProceedings of the 4th 4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011
    Place of PublicationBerlin
    PublisherSpringer
    Pages477-486
    Number of pages10
    ISBN (Print)978-3-642-24599-2
    DOIs
    Publication statusPublished - Oct 2011
    Event4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011 - Memphis, United States
    Duration: 9 Oct 201112 Oct 2011
    Conference number: 4

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume6974
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011
    Abbreviated titleASCII
    Country/TerritoryUnited States
    CityMemphis
    Period9/10/1112/10/11

    Keywords

    • METIS-281604
    • Machine Learning
    • IR-78729
    • EWI-20908
    • Social Signals
    • Smiles
    • HMI-IA: Intelligent Agents
    • Conversation

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