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    block this user Kristinn Thórisson Trusted member

    Associate Professor

    School of Computer Science, Reykjavik University, Reykjavik, Iceland

    A Multiparty Multimodal Architecture for Realtime Turntaking

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    Many dialogue systems have been built over the years that address some subset of the many complex factors that shape the behavior of participants in a face-to-face conversation. The Ymir Turntaking Model (YTTM) is a broad computational model of conversational skills that has been in development for over a decade, continuously growing in the number of factors it addresses. In past work we have shown how it addresses realtime dialogue, communicative gesture, perception of turntaking signals (e.g. prosody, gaze, manual gesture), dialogue planning, learning of multimodal turn signals, and dynamic adaptation to human speaking style. The architectural principles of the YTTM prescribe smaller architectural granularity than most other models, and its principles allow non-destructive additive expansion. In this paper we show how the YTTM accommodates multi-party dialogue. The extension has been implemented in a virtual environment; we present data for up to 12 simulated participants participating in realtime cooperative dialogue. The system includes dynamically adjustable parameters for impatience, willingness to give turn and eagerness to speak.

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    Description

    Title : A Multiparty Multimodal Architecture for Realtime Turntaking
    Author(s) : Kristinn R. Thórisson, Olafur Gislason, Gudny Ragna Jonsdottir, Hrafn Th. Thorisson
    Abstract : Many dialogue systems have been built over the years that address some subset of the many complex factors that shape the behavior of participants in a face-to-face conversation. The Ymir Turntaking Model (YTTM) is a broad computational model of conversational skills that has been in development for over a decade, continuously growing in the number of factors it addresses. In past work we have shown how it addresses realtime dialogue, communicative gesture, perception of turntaking signals (e.g. prosody, gaze, manual gesture), dialogue planning, learning of multimodal turn signals, and dynamic adaptation to human speaking style. The architectural principles of the YTTM prescribe smaller architectural granularity than most other models, and its principles allow non-destructive additive expansion. In this paper we show how the YTTM accommodates multi-party dialogue. The extension has been implemented in a virtual environment; we present data for up to 12 simulated participants participating in realtime cooperative dialogue. The system includes dynamically adjustable parameters for impatience, willingness to give turn and eagerness to speak.
    Keywords : dialogue, multimodal, multiparty, realtime, turntaking

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2010

    Affiliations School of Computer Science, Reykjavik University, Reykjavik, Iceland
    Editors : Jan Allbeck, Norman Badler, Timothy Bickmore, Catherine Pelachaud, Alla Safonova
    Journal : IVA 2010
    Volume : 6356
    Publisher : Springer Berlin Heidelberg
    City : Berlin, Heidelberg
    Pages : 350 - 356
    Url : http://www.springerlink.com/index/10.1007/978-3-642-15892-6_37
    Isbn : 978-3-642-15891-9
    Doi : 10.1007/978-3-642-15892-6_37

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