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.
|Title of host publication||Proceedings of the 5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems|
|Editors||David Traum, Jan Alexandersson, Arne Jönsson, Ingrid Zukerman|
|Place of Publication||Hyderabad, India|
|Number of pages||4|
|Publication status||Published - 8 Jan 2007|
|Event||5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems 2007 - Hyderabad, India|
Duration: 8 Jan 2007 → 8 Jan 2007
|Workshop||5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems 2007|
|Period||8/01/07 → 8/01/07|
- HMI-MI: MULTIMODAL INTERACTIONS
- HMI-SLT: Speech and Language Technology
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.