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arXiv · 2512.20116

/UnmuteAll: Modeling Verbal Communication Patterns of Collaborative Contexts in MOBA Games

Yongchan Son·Jahun Jang·Been An·Jimoon Kang·Eunji Park
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Abstract

Team communication plays a vital role in supporting collaboration in multiplayer online games. Therefore, numerous studies were conducted to examine communication patterns in esports teams. While non-verbal communication has been extensively investigated, research on assessing voice-based verbal communication patterns remains relatively understudied. In this study, we propose a framework that automatically assesses verbal communication patterns by constructing networks with utterances transcribed from voice recordings. Through a data collection study, we obtained 84 game sessions from five League of Legends teams and subsequently investigated how verbal communication patterns varied across different conditions. As a result, we revealed that esports players exhibited broader and more balanced participation in collaborative situations, increased utterances over time with the largest rise in decision making, and team-level differences that were contingent on effective professional training. Building upon these findings, this study provides a generalizable tool for analyzing effective team communication.

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Yongchan Son, Jahun Jang, Been An, Jimoon Kang, Eunji Park. 2025-12-23. /UnmuteAll: Modeling Verbal Communication Patterns of Collaborative Contexts in MOBA Games. https://arxiv.org/abs/2512.20116

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