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Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2)

机译:防御古代人2(DotA 2)时空团队行为的基于技能的差异

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Multiplayer Online Battle Arena (MOBA) games are among the most played digital games in the world. In these games, teams of players fight against each other in arena environments, and the gameplay is focussed on tactical combat. In this paper, we present three data-driven measures of spatio-temporal behaviour in Defence of the Ancients 2 (DotA 2): 1) Zone changes; 2) Distribution of team members and: 3) Time series clustering via a fuzzy approach. We present a method for obtaining accurate positional data from DotA 2. We investigate how behaviour varies across these measures as a function of the skill level of teams, using four tiers from novice to professional players. Results from three analyses indicate that spatio-temporal behaviour of MOBA teams is highly related to team skill.
机译:多人在线竞技场(MOBA)游戏是世界上玩得最多的数字游戏之一。在这些游戏中,玩家团队在竞技场环境中相互对抗,而游戏玩法则侧重于战术战斗。在本文中,我们提出了三种以数据为依据的时空行为的度量方法,用于衡量古人防御2(DotA 2):1)区域变化; 2)团队成员的分布,以及:3)通过模糊方法进行时间序列聚类。我们提出了一种从DotA 2获取准确位置数据的方法。我们研究了从新手到职业玩家的四个层次,这些行为如何随团队技能水平的变化而变化。三个分析的结果表明,MOBA团队的时空行为与团队技能高度相关。

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