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 |
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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 | |
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 |
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Country | 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