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. It has two new features: (1) being able to deal with a large number of slots and (2) being able to take into account some aspects of the user's affective state in deriving the adaptive dialogue strategies. 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 handcrafted dialogue strategies when the user's action error is induced by stress.
| Original language | English |
|---|---|
| Place of Publication | Enschede |
| Publisher | Centre for Telematics and Information Technology (CTIT) |
| Number of pages | 8 |
| Publication status | Published - 28 Sept 2006 |
Publication series
| Name | CTIT Technical Report Series |
|---|---|
| Publisher | Centre for Telematics and Information Technology, University of Twente |
| No. | 06-65 |
| ISSN (Print) | 1381-3625 |
Keywords
- HMI-CI: Computational Intelligence
- HMI-MI: MULTIMODAL INTERACTIONS
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A tractable DDN-POMDP Approach to Affective Dialogue Modeling for General Probabilistic Frame-based Dialogue Systems
Bui, T. H., Poel, M., Nijholt, A. & Zwiers, J., 8 Jan 2007, Proceedings of the 5th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems. Traum, D., Alexandersson, J., Jönsson, A. & Zukerman, I. (eds.). Hyderabad, India: IJCAI, p. 34-37 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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