Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems

Teruhisa Misu; Komei Sugiura; Kiyonori Ohtake; Chiori Hori; Hideki Kashioka; Hisashi Kawai; Satoshi Nakamura

doi:10.1109/SLT.2010.5700878

Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems

Teruhisa Misu, Komei Sugiura, Kiyonori Ohtake, Chiori Hori, Hideki Kashioka, Hisashi Kawai, Satoshi Nakamura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

This paper addresses a user model and dialogue state definition in spoken consulting dialogue systems that help users in making decision. When selecting from a set of alternatives, users have various decision criteria for making decision. Users often do not have a definite goal or criteria for selection, and thus they may find not only what kind of information the system can provide but their own preference or factors that they should emphasize. In this paper, we model such consulting dialogue as partially observable Markov decision process (POMDP). We then present an optimization of dialogue strategy to help users make better decisions.

Original language	English
Title of host publication	2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings
Pages	354-359
Number of pages	6
DOIs	https://doi.org/10.1109/SLT.2010.5700878
Publication status	Published - 2010
Externally published	Yes
Event	2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Berkeley, CA, United States Duration: 2010 Dec 12 → 2010 Dec 15

Publication series

Name	2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings

Conference

Conference	2010 IEEE Workshop on Spoken Language Technology, SLT 2010
Country/Territory	United States
City	Berkeley, CA
Period	10/12/12 → 10/12/15

Keywords

Decision support systems
POMDP
Spoken dialogue systems
User modeling

ASJC Scopus subject areas

Language and Linguistics

Access to Document

10.1109/SLT.2010.5700878

Cite this

Misu, T., Sugiura, K., Ohtake, K., Hori, C., Kashioka, H., Kawai, H., & Nakamura, S. (2010). Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems. In 2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings (pp. 354-359). Article 5700878 (2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings). https://doi.org/10.1109/SLT.2010.5700878

Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems. / Misu, Teruhisa; Sugiura, Komei; Ohtake, Kiyonori et al.
2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings. 2010. p. 354-359 5700878 (2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Misu, T, Sugiura, K, Ohtake, K, Hori, C, Kashioka, H, Kawai, H & Nakamura, S 2010, Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems. in 2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings., 5700878, 2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings, pp. 354-359, 2010 IEEE Workshop on Spoken Language Technology, SLT 2010, Berkeley, CA, United States, 10/12/12. https://doi.org/10.1109/SLT.2010.5700878

Misu T, Sugiura K, Ohtake K, Hori C, Kashioka H, Kawai H et al. Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems. In 2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings. 2010. p. 354-359. 5700878. (2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings). doi: 10.1109/SLT.2010.5700878

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abstract = "This paper addresses a user model and dialogue state definition in spoken consulting dialogue systems that help users in making decision. When selecting from a set of alternatives, users have various decision criteria for making decision. Users often do not have a definite goal or criteria for selection, and thus they may find not only what kind of information the system can provide but their own preference or factors that they should emphasize. In this paper, we model such consulting dialogue as partially observable Markov decision process (POMDP). We then present an optimization of dialogue strategy to help users make better decisions.",

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author = "Teruhisa Misu and Komei Sugiura and Kiyonori Ohtake and Chiori Hori and Hideki Kashioka and Hisashi Kawai and Satoshi Nakamura",

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Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems

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Keywords

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