User modeling in spoken dialogue systems to generate flexible guidance

Kazunori Komatani*, Shinichi Ueno, Tatsuya Kawahara, Hiroshi G. Okuno

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


We address the issue of appropriate user modeling to generate cooperative responses to users in spoken dialogue systems. Unlike previous studies that have focused on a user's knowledge, we propose more generalized modeling. We specifically set up three dimensions for user models: the skill level in use of the system, the knowledge level about the target domain, and the degree of urgency. Moreover, the models are automatically derived by decision tree learning using actual dialogue data collected by the system. We obtained reasonable accuracy in classification for all dimensions. Dialogue strategies based on user modeling were implemented on the Kyoto City Bus Information System that was developed at our laboratory. Experimental evaluations revealed that the cooperative responses adapted to each subject type served as good guides for novices without increasing the duration dialogue lasted for skilled users.

Original languageEnglish
Pages (from-to)169-183
Number of pages15
JournalUser Modelling and User-Adapted Interaction
Issue number1
Publication statusPublished - 2005 Mar
Externally publishedYes


  • Cooperative response
  • Decision tree learning
  • Dialogue strategy
  • Online user modeling
  • Spoken dialogue system

ASJC Scopus subject areas

  • Human-Computer Interaction


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