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Individual performance in team-based online games.

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Player performance in multiplayer online battle arena (MOBA) games declines over time, especially in ad hoc teams. However, player experience can mitigate this decline, suggesting personalized incentives to improve team performance.

Keywords:
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Area of Science:

  • Computational Social Science
  • Human-Computer Interaction
  • Game Studies

Background:

  • Complex challenges are often tackled by ad hoc teams, dynamically formed for specific tasks.
  • Multiplayer online battle arena (MOBA) games provide a naturalistic setting for studying ad hoc team dynamics and performance.
  • Understanding individual performance evolution within these teams is crucial for optimizing team strategies and player engagement.

Purpose of the Study:

  • To investigate the changes in individual player performance over successive matches within ad hoc teams in a popular MOBA game.
  • To identify factors influencing performance trajectories, such as player experience.
  • To model short-term performance dynamics to predict player session continuation and inform incentive strategies.

Main Methods:

  • Analysis of player performance data from League of Legends, focusing on successive matches within gaming sessions.
  • Statistical examination of performance trends and the moderating effect of player experience.
  • Development of a predictive model for player session duration based on performance dynamics.

Main Results:

  • Individual player performance tends to deteriorate across a gaming session in ad hoc teams.
  • Greater player experience significantly mitigates performance decline over the session.
  • No substantial long-term individual performance improvement was observed for the majority of players.

Conclusions:

  • Player fatigue or adaptation effects negatively impact performance in MOBA ad hoc teams.
  • Experience is a key factor in maintaining performance, highlighting the value of veteran players.
  • Performance modeling can predict player behavior and guide the design of targeted interventions to enhance engagement and team success.