SICYHCSOC-PHJan 29, 2018

Performance Dynamics and Success in Online Games

arXiv:1801.09783v113 citations
Originality Synthesis-oriented
AI Analysis

This provides insights for game developers and players on optimizing performance in online games, though it is incremental as it applies existing methods to a specific domain.

The study analyzed player behavior in Dota 2 to identify factors leading to high skill levels, finding that success is linked to a warm-up period, not just long experience, and an aggressive strategy focused on killing opponents and ending matches early.

Online data provide a way to monitor how users behave in social systems like social networks and online games, and understand which features turn an ordinary individual into a successful one. Here, we propose to study individual performance and success in Multiplayer Online Battle Arena (MOBA) games. Our purpose is to identify those behaviors and playing styles that are characteristic of players with high skill level and that distinguish them from other players. To this aim, we study Defense of the ancient 2 (Dota 2), a popular MOBA game. Our findings highlight three main aspects to be successful in the game: (i) players need to have a warm-up period to enhance their performance in the game; (ii) having a long in-game experience does not necessarily translate in achieving better skills; but rather, (iii) players that reach high skill levels differentiate from others because of their aggressive playing strategy, which implies to kill opponents more often than cooperating with teammates, and trying to give an early end to the match.

Foundations

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