Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games

The results of this study demonstrate that the systematics of turn-taking in human conversation are also effective in controlling dialogue among AI agents, and provide design guidelines for more advanced multi-agent dialogue systems.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-06-17
DOI
https://doi.org/10.3389/frai.2025.1582287
Citations
2
Primary Topic
Language, Discourse, Communication Strategies
Type
article
Field-Weighted Citation Impact
20.85

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article

Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games

Hiroyuki Mori, Ryota Nonomura
2 citations
Frontiers in Artificial Intelligence
Language, Discourse, Communication Strategies
20.85
article

Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games

Hiroyuki Mori, Ryota Nonomura
article en
2 citations

Abstract

The results of this study demonstrate that the systematics of turn-taking in human conversation are also effective in controlling dialogue among AI agents, and provide design guidelines for more advanced multi-agent dialogue systems.

Frontiers in Artificial IntelligenceVol. 8
Utsunomiya University (JP)
National Institute for Japanese Language and Linguistics
Openalex Percentile: Top 1%
Language, Discourse, Communication Strategies
20.85
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