Estimation of user’s willingness to talk about the topic: Analysis of interviews between humans

Yuya Chiba, Akinori Ito

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

1 Citation (Scopus)

Abstract

This research tried to estimate the user’s willingness to talk about the topic provided by the dialog system. Dialog management based on the user’s willingness is assumed to improve the satisfaction the user gets from the dialog with the system. We collected interview dialogs between humans to analyze the features for estimation, and found that significant differences of the statistics of F0 and power of the speech, and the degree of the facial movements by a statistical test. We conducted discrimination experiments by using multi-modal features with SVM, and obtained the best result when we used the audio-visual information. We obtained 80.4 % of discrimination ratio under leave-one-out condition and 77.1 % discrimination ratio under subject-open condition.

Original languageEnglish
Title of host publicationDialogues with Social Robots - Enablements, Analyses, and Evaluation
EditorsKristiina Jokinen, Graham Wilcock
PublisherSpringer-Verlag
Pages411-419
Number of pages9
ISBN (Print)9789811025846
DOIs
Publication statusPublished - 2017 Jan 1
Event7th International Workshop on Spoken Dialogue Systems, IWSDS 2016 - Saariselka, Finland
Duration: 2016 Jan 132016 Jan 16

Publication series

NameLecture Notes in Electrical Engineering
Volume999 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other7th International Workshop on Spoken Dialogue Systems, IWSDS 2016
CountryFinland
CitySaariselka
Period16/1/1316/1/16

Keywords

  • Multi-modal information
  • Spoken dialog system
  • User’s willingness to talk

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Chiba, Y., & Ito, A. (2017). Estimation of user’s willingness to talk about the topic: Analysis of interviews between humans. In K. Jokinen, & G. Wilcock (Eds.), Dialogues with Social Robots - Enablements, Analyses, and Evaluation (pp. 411-419). (Lecture Notes in Electrical Engineering; Vol. 999 LNEE). Springer-Verlag. https://doi.org/10.1007/978-981-10-2585-3_34