Abstract
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 language | English |
|---|---|
| Pages (from-to) | 169-183 |
| Number of pages | 15 |
| Journal | User Modelling and User-Adapted Interaction |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2005 Mar |
| Externally published | Yes |
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Keywords
- Cooperative response
- Decision tree learning
- Dialogue strategy
- Online user modeling
- Spoken dialogue system
ASJC Scopus subject areas
- Human-Computer Interaction
Cite this
User modeling in spoken dialogue systems to generate flexible guidance. / Komatani, Kazunori; Ueno, Shinichi; Kawahara, Tatsuya; Okuno, Hiroshi G.
In: User Modelling and User-Adapted Interaction, Vol. 15, No. 1, 03.2005, p. 169-183.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - User modeling in spoken dialogue systems to generate flexible guidance
AU - Komatani, Kazunori
AU - Ueno, Shinichi
AU - Kawahara, Tatsuya
AU - Okuno, Hiroshi G.
PY - 2005/3
Y1 - 2005/3
N2 - 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.
AB - 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.
KW - Cooperative response
KW - Decision tree learning
KW - Dialogue strategy
KW - Online user modeling
KW - Spoken dialogue system
UR - http://www.scopus.com/inward/record.url?scp=21444440253&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=21444440253&partnerID=8YFLogxK
U2 - 10.1007/s11257-004-5659-0
DO - 10.1007/s11257-004-5659-0
M3 - Article
VL - 15
SP - 169
EP - 183
JO - User Modeling and User-Adapted Interaction
JF - User Modeling and User-Adapted Interaction
SN - 0924-1868
IS - 1
ER -