DocumentCode :
3565611
Title :
Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2)
Author :
Drachen, Anders ; Yancey, Matthew ; Maguire, John ; Chu, Derrek ; Wang, Iris Yuhui ; Mahlmann, Tobias ; Schubert, Matthias ; Klabajan, Diego
Author_Institution :
Aalborg Univ., Aalborg, Denmark
fYear :
2014
Firstpage :
1
Lastpage :
8
Abstract :
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.
Keywords :
behavioural sciences computing; computer games; fuzzy set theory; pattern clustering; time series; Defence of the Ancients 2; DotA 2 game; MOBA game; digital games; fuzzy approach; gameplay; multiplayer online battle arena game; positional data; skill-based difference; spatio-temporal team behaviour; tactical combat; team member distribution measure; team skill; time series clustering measure; zone changes measure; Artificial intelligence; Communities; Data mining; Games; Poles and towers; Trajectory; Valves; DotA 2; MOBA; game analytics; multi-player online battle arena; player modelling; skill; spatial analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Games Media Entertainment (GEM), 2014 IEEE
Print_ISBN :
978-1-4799-7545-7
Type :
conf
DOI :
10.1109/GEM.2014.7048109
Filename :
7048109
Link To Document :
بازگشت