Communication Patterns Predict Team Skill in Multiplayer Online Games

The present research on team collaboration is typically performed through qualitative interview based studies or social network measurements of connectedness through co-play. In this study, we take the unique approach to build networks from direct messages between players in the massive online game World of Tanks where players self-organize into clans with specific roles assigned from military rankings (from Private to Commander). We explore the relationship between team communication volume and skill level, the impact of communication features on clan rating, and the differences in communication hierarchy between high and low-rated clans. Our findings reveal that higher-rated clans send more pre-battle chat messages, suggesting that effective communication and strategic planning are key to team performance. Evidence shows teams who use voice chat during battle are significantly higher ranked. Finally, we reveal that the highest rated clans have more connected lower-ranked members emphasizing that these teams are ''only as strong as their weakest link.'' This research is guided by the Transactive Memory Systems and Collective Intelligence theories which serve to expand the contribution of this research outside of games to other forms of virtual collaboration.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757569
Primary Topic
Team Dynamics and Performance
Type
article
Field-Weighted Citation Impact
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article

Communication Patterns Predict Team Skill in Multiplayer Online Games

Fred Morstatter, Yilei Zeng, Alexander J. Bisberg, Emily Chen et al.
Proceedings of the ACM on Human-Computer Interaction
Team Dynamics and Performance
article

Communication Patterns Predict Team Skill in Multiplayer Online Games

Fred Morstatter, Yilei Zeng, Alexander J. Bisberg, Emily Chen, Dmitri Williams, Sonia Jawaid Shaikh, Emilio Ferrara
article en

Abstract

The present research on team collaboration is typically performed through qualitative interview based studies or social network measurements of connectedness through co-play. In this study, we take the unique approach to build networks from direct messages between players in the massive online game World of Tanks where players self-organize into clans with specific roles assigned from military rankings (from Private to Commander). We explore the relationship between team communication volume and skill level, the impact of communication features on clan rating, and the differences in communication hierarchy between high and low-rated clans. Our findings reveal that higher-rated clans send more pre-battle chat messages, suggesting that effective communication and strategic planning are key to team performance. Evidence shows teams who use voice chat during battle are significantly higher ranked. Finally, we reveal that the highest rated clans have more connected lower-ranked members emphasizing that these teams are ''only as strong as their weakest link.'' This research is guided by the Transactive Memory Systems and Collective Intelligence theories which serve to expand the contribution of this research outside of games to other forms of virtual collaboration.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
University of Southern California (US), The University of Melbourne (AU)
Openalex Percentile: Top 66%
Team Dynamics and Performance
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Communication Patterns Predict Team Skill in Multiplayer Online Games — Fred Morstatter, Yilei Zeng, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS