A model of temporally changing user behaviors in a deployed spoken dialogue system

Kazunori Komatani, Tatsuya Kawahara, Hiroshi G. Okuno

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

Abstract

User behaviors on a system vary not only among individuals but also within the same user when he/she gains experience on the system. We empirically investigated how individual users changed their behaviors on the basis of long-term data, which were collected by our telephone-based spoken dialogue system deployed for the open public over 34 months. The system was repeatedly used by citizens, who were each identified by their phone numbers. We conducted an experiment by using these data and showed that prediction accuracy of utterance-understanding errors improved when the temporal change was taken into consideration. This result showed that modeling temporally changing user behaviors was helpful in improving the performance of spoken dialogue systems.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages409-414
Number of pages6
Volume5535 LNCS
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009 - Trento
Duration: 2009 Jun 222009 Jun 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5535 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009
CityTrento
Period09/6/2209/6/26

Fingerprint

Spoken Dialogue Systems
User Behavior
Telephone
Experiments
Vary
Model
Prediction
Modeling
Experiment

Keywords

  • Barge-in
  • Deployed system
  • Habituation
  • Real user behavior
  • Spoken dialogue system
  • Temporal change

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Komatani, K., Kawahara, T., & Okuno, H. G. (2009). A model of temporally changing user behaviors in a deployed spoken dialogue system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5535 LNCS, pp. 409-414). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5535 LNCS). https://doi.org/10.1007/978-3-642-02247-0_45

A model of temporally changing user behaviors in a deployed spoken dialogue system. / Komatani, Kazunori; Kawahara, Tatsuya; Okuno, Hiroshi G.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5535 LNCS 2009. p. 409-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5535 LNCS).

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

Komatani, K, Kawahara, T & Okuno, HG 2009, A model of temporally changing user behaviors in a deployed spoken dialogue system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5535 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5535 LNCS, pp. 409-414, 17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009, Trento, 09/6/22. https://doi.org/10.1007/978-3-642-02247-0_45
Komatani K, Kawahara T, Okuno HG. A model of temporally changing user behaviors in a deployed spoken dialogue system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5535 LNCS. 2009. p. 409-414. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02247-0_45
Komatani, Kazunori ; Kawahara, Tatsuya ; Okuno, Hiroshi G. / A model of temporally changing user behaviors in a deployed spoken dialogue system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5535 LNCS 2009. pp. 409-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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