Effect of Mutual Self-Disclosure in Spoken Dialog System on User Impression

Shunsuke Tada, Yuya Chiba, Takashi Nose, Akinori Ito

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

Abstract

Many of current spoken dialog systems can conduct non-task-oriented dialog. The systems that can improve user impression are required for users to keep using them. This paper focuses on self-disclosure, that is a process that a person reveals information about herself/himself to an interlocutor in human-human conversation. It is known that the self-disclosure plays a vital role to develop an intimate relationship. However, it is still unclear how exchanging the self-disclosures affects the user impression in the human-machine dialog. In this paper, we conduct dialog experiments to investigate the effectiveness of mutual self-disclosures between the user and the system. To achieve this goal, we built a spoken dialog system which conducts the dialog that the user and the system disclose information about themselves alternately. The dialog experiments revealed that the proposed system can improve the user impression regarding satisfaction and friendliness.

Original languageEnglish
Title of host publication2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages806-810
Number of pages5
ISBN (Electronic)9789881476852
DOIs
Publication statusPublished - 2019 Mar 4
Event10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States
Duration: 2018 Nov 122018 Nov 15

Publication series

Name2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

Conference

Conference10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
CountryUnited States
CityHonolulu
Period18/11/1218/11/15

ASJC Scopus subject areas

  • Information Systems

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    Tada, S., Chiba, Y., Nose, T., & Ito, A. (2019). Effect of Mutual Self-Disclosure in Spoken Dialog System on User Impression. In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings (pp. 806-810). [8659630] (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APSIPA.2018.8659630