User modeling in spoken dialogue systems for flexible guidance generation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on users' knowledge or typical kinds of users, the proposed user model is more comprehensive. Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on the target domain and degree of hastiness. Moreover, the models are automatically derived by decision tree learning using real dialogue data. We obtained reasonable classification accuracy for all dimensions. Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory. Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration for skilled users.

Original languageEnglish
Title of host publicationEUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology
PublisherInternational Speech Communication Association
Pages745-748
Number of pages4
Publication statusPublished - 2003
Externally publishedYes
Event8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 - Geneva, Switzerland
Duration: 2003 Sep 12003 Sep 4

Other

Other8th European Conference on Speech Communication and Technology, EUROSPEECH 2003
CountrySwitzerland
CityGeneva
Period03/9/103/9/4

Fingerprint

communication technology
Decision trees
Information systems
dialogue
information system
evaluation
knowledge
learning

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Linguistics and Language
  • Communication

Cite this

Komatani, K., Ueno, S., Kawahara, T., & Okuno, H. G. (2003). User modeling in spoken dialogue systems for flexible guidance generation. In EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology (pp. 745-748). International Speech Communication Association.

User modeling in spoken dialogue systems for flexible guidance generation. / Komatani, Kazunori; Ueno, Shinichi; Kawahara, Tatsuya; Okuno, Hiroshi G.

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology. International Speech Communication Association, 2003. p. 745-748.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Komatani, K, Ueno, S, Kawahara, T & Okuno, HG 2003, User modeling in spoken dialogue systems for flexible guidance generation. in EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology. International Speech Communication Association, pp. 745-748, 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, Geneva, Switzerland, 03/9/1.
Komatani K, Ueno S, Kawahara T, Okuno HG. User modeling in spoken dialogue systems for flexible guidance generation. In EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology. International Speech Communication Association. 2003. p. 745-748
Komatani, Kazunori ; Ueno, Shinichi ; Kawahara, Tatsuya ; Okuno, Hiroshi G. / User modeling in spoken dialogue systems for flexible guidance generation. EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology. International Speech Communication Association, 2003. pp. 745-748
@inproceedings{3e801f0db1ee41ffabbc917f536a100a,
title = "User modeling in spoken dialogue systems for flexible guidance generation",
abstract = "We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on users' knowledge or typical kinds of users, the proposed user model is more comprehensive. Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on the target domain and degree of hastiness. Moreover, the models are automatically derived by decision tree learning using real dialogue data. We obtained reasonable classification accuracy for all dimensions. Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory. Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration for skilled users.",
author = "Kazunori Komatani and Shinichi Ueno and Tatsuya Kawahara and Okuno, {Hiroshi G.}",
year = "2003",
language = "English",
pages = "745--748",
booktitle = "EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology",
publisher = "International Speech Communication Association",

}

TY - GEN

T1 - User modeling in spoken dialogue systems for flexible guidance generation

AU - Komatani, Kazunori

AU - Ueno, Shinichi

AU - Kawahara, Tatsuya

AU - Okuno, Hiroshi G.

PY - 2003

Y1 - 2003

N2 - We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on users' knowledge or typical kinds of users, the proposed user model is more comprehensive. Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on the target domain and degree of hastiness. Moreover, the models are automatically derived by decision tree learning using real dialogue data. We obtained reasonable classification accuracy for all dimensions. Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory. Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration for skilled users.

AB - We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on users' knowledge or typical kinds of users, the proposed user model is more comprehensive. Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on the target domain and degree of hastiness. Moreover, the models are automatically derived by decision tree learning using real dialogue data. We obtained reasonable classification accuracy for all dimensions. Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory. Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration for skilled users.

UR - http://www.scopus.com/inward/record.url?scp=85009228876&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009228876&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85009228876

SP - 745

EP - 748

BT - EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

PB - International Speech Communication Association

ER -