Individual and Collective Performance Deteriorate in a New Team: A Case Study of CS:GO Tournaments

May 19, 2022 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Weiwei Zhang, Goran Muric, Emilio Ferrara arXiv ID 2205.09693 Category cs.HC: Human-Computer Interaction Cross-listed cs.CY Citations 3 Venue arXiv.org Last Checked 4 months ago
Abstract
How does the team formation relates to team performance in professional video game playing? This study examined one aspect of group dynamics - team switching - and aims to answer how changing a team affects individual and collective performance in eSports tournaments. In this study we test the hypothesis that switching teams can be detrimental to individual and team performance both in short term and in a long run. We collected data from professional tournaments of a popular first-person shooter game {\itshape Counter-Strike: Global Offensive (CS:GO)} and perform two natural experiments. We found that the player's performance was inversely correlated with the number of teams a player had joined. After a player switched to a new team, both the individual and the collective performance dropped initially, and then slowly recovered. The findings in this study can provide insights for understanding group dynamics in eSports team play and eventually emphasize the importance of team cohesion in facilitating team collaboration, coordination, and knowledge sharing in teamwork in general.
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