Skill-Based Differences in Spatio-Temporal Team Behaviour in Defence of The Ancients 2 (DotA 2)

被引：0

作者：

Drachen, Anders ^{[1
]}

Yancey, Matthew

Maguire, John

Chu, Derrek

Wang, Iris Yuhui ^{[4
]}

Mahlmann, Tobias ^{[2
]}

Schubert, Matthias ^{[3
]}

Klabajan, Diego ^{[4
]}

机构：

[1] Aalborg Univ, Aalborg, Denmark

[2] ITU Copenhagen, Copenhagen, Denmark

[3] Ludwig Maximilians Univ Munchen, Munich, Germany

[4] Northwestern Univ, Evanston, IL 60208 USA

来源：

2014 IEEE GAMES, MEDIA, ENTERTAINMENT (GEM) | 2014年

关键词：

DotA; 2; MOBA; multi-player online battle arena; player modelling; game analytics; skill; spatial analytics;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：8