Do others believe what I believe? Estimating how much information is being shared by utterance timing

Shoya Matsumori, Masahiko Osawa, Yosuke Fukuchi, Michita Imai

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

Abstract

In interactions, estimating how much information is being shared between participants is one of the crucial aspects that make the interaction more lively and enhance each participant’s sense of understanding of the others. In this paper, we propose a model to estimate how much information is being shared between participants in a conversation. In the proposed model, we considered not only the content of the utterance, but also the timing of the utterance. To verify the validity of our model, we implemented a simulator of a party game called Word Wolf, which requires information sharing estimation as the part of the game, and simulated the participants’ behavior. Through the simulation we showed that utterance timing is an important backchannel when estimating information sharing.

Original languageEnglish
Title of host publicationHAI 2018 - Proceedings of the 6th International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages301-309
Number of pages9
ISBN (Electronic)9781450359535
DOIs
Publication statusPublished - 2018 Dec 4
Event6th International Conference on Human-Agent Interaction, HAI 2018 - Southampton, United Kingdom
Duration: 2018 Dec 152018 Dec 18

Other

Other6th International Conference on Human-Agent Interaction, HAI 2018
CountryUnited Kingdom
CitySouthampton
Period18/12/1518/12/18

Keywords

  • Information sharing
  • Information sharing estimation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence
  • Software

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  • Cite this

    Matsumori, S., Osawa, M., Fukuchi, Y., & Imai, M. (2018). Do others believe what I believe? Estimating how much information is being shared by utterance timing. In HAI 2018 - Proceedings of the 6th International Conference on Human-Agent Interaction (pp. 301-309). Association for Computing Machinery, Inc. https://doi.org/10.1145/3284432.3284461