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

Shoya Matsumori; Masahiko Osawa; Yosuke Fukuchi; Michita Imai

doi:10.1145/3284432.3284461

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

Shoya Matsumori, Masahiko Osawa, Yosuke Fukuchi, Michita Imai

Department of Information and Computer Science

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

1 Citation (Scopus)

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 language	English
Title of host publication	HAI 2018 - Proceedings of the 6th International Conference on Human-Agent Interaction
Publisher	Association for Computing Machinery, Inc
Pages	301-309
Number of pages	9
ISBN (Electronic)	9781450359535
DOIs	https://doi.org/10.1145/3284432.3284461
Publication status	Published - 2018 Dec 4
Event	6th International Conference on Human-Agent Interaction, HAI 2018 - Southampton, United Kingdom Duration: 2018 Dec 15 → 2018 Dec 18

Other

Other	6th International Conference on Human-Agent Interaction, HAI 2018
Country/Territory	United Kingdom
City	Southampton
Period	18/12/15 → 18/12/18

Keywords

Information sharing
Information sharing estimation

ASJC Scopus subject areas

Human-Computer Interaction
Artificial Intelligence
Software

Access to Document

10.1145/3284432.3284461

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Do others believe what I believe? Estimating how much information is being shared by utterance timing. / Matsumori, Shoya; Osawa, Masahiko; Fukuchi, Yosuke; Imai, Michita.

HAI 2018 - Proceedings of the 6th International Conference on Human-Agent Interaction. Association for Computing Machinery, Inc, 2018. p. 301-309.

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

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. Association for Computing Machinery, Inc, pp. 301-309, 6th International Conference on Human-Agent Interaction, HAI 2018, Southampton, United Kingdom, 18/12/15. https://doi.org/10.1145/3284432.3284461

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

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{\textquoteright}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{\textquoteright} behavior. Through the simulation we showed that utterance timing is an important backchannel when estimating information sharing.",

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AU - Imai, Michita

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AB - 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.

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

Abstract

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Keywords

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