A tractable DDN-POMDP Approach to Affective Dialogue Modeling for General Probabilistic Frame-based Dialogue Systems

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    Abstract

    We propose a new approach to developing a tractable affective dialogue model for general probabilistic frame-based dialogue systems. The dialogue model, based on the Partially Observable Markov Decision Process (POMDP) and the Dynamic Decision Network (DDN) techniques, is composed of two main parts, the slot level dialogue manager and the global dialogue manager. Our implemented dialogue manager prototype can handle hundreds of slots; each slot might have many values. A first evaluation of the slot level dialogue manager (1-slot case) showed that with a 95% confidence level the DDN-POMDP dialogue strategy outperforms three simple handcrafted dialogue strategies when the user's action error is induced by stress.
    Original languageEnglish
    Title of host publicationProceedings of the 5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems
    EditorsDavid Traum, Jan Alexandersson, Arne Jönsson, Ingrid Zukerman
    Place of PublicationHyderabad, India
    PublisherIJCAI
    Pages34-37
    Number of pages4
    Publication statusPublished - 8 Jan 2007
    Event5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems 2007 - Hyderabad, India
    Duration: 8 Jan 20078 Jan 2007

    Workshop

    Workshop5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems 2007
    CountryIndia
    CityHyderabad
    Period8/01/078/01/07

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    Keywords

    • HMI-MI: MULTIMODAL INTERACTIONS
    • HMI-SLT: Speech and Language Technology

    Cite this

    Bui, T. H., Poel, M., Nijholt, A., & Zwiers, J. (2007). A tractable DDN-POMDP Approach to Affective Dialogue Modeling for General Probabilistic Frame-based Dialogue Systems. In D. Traum, J. Alexandersson, A. Jönsson, & I. Zukerman (Eds.), Proceedings of the 5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems (pp. 34-37). Hyderabad, India: IJCAI.