Analysis of efficient multimodal features for estimating user's willingness to talk: Comparison of human-machine and human-human dialog

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

4 Citations (Scopus)

Abstract

A dialog system can select a more favorable action to a user by estimating the user's internal state. In this paper, we introduce the user's willingness to talk, whether the user wants to talk about a topic or to answer a question posed by the system. The dialog system is expected to increase user satisfaction by managing the dialog based on the user's willingness to talk. In the previous report, we investigated the effective multimodal features for estimating the willingness to talk through humanhuman dialogs but it was not clear whether these features were also useful for human-machine dialog. Thus, we collected the interview dialog data based on the Wizard of Oz (WOZ) basis and investigated the effect of the multimodal features by the discrimination experiments.

Original languageEnglish
Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages428-431
Number of pages4
ISBN (Electronic)9781538615423
DOIs
Publication statusPublished - 2018 Feb 5
Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
Duration: 2017 Dec 122017 Dec 15

Publication series

NameProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Volume2018-February

Other

Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
CountryMalaysia
CityKuala Lumpur
Period17/12/1217/12/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Signal Processing

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