DocumentCode :
2775704
Title :
An Exploratory Study of Player and Team Performance in Multiplayer First-Person-Shooter Games
Author :
Shim, Kyong Jin ; Hsu, Kuo-Wei ; Damania, Samarth ; DeLong, Colin ; Srivastava, Jaideep
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2011
fDate :
9-11 Oct. 2011
Firstpage :
617
Lastpage :
620
Abstract :
In this paper, we report findings from an exploratory study of player and team performance in Halo 3, a popular First-Person-Shooter game developed by Bungie. In the study, we first analyze player and team statistics obtained from the 2008 and 2009 seasons for professional Halo 3 games in order to investigate the impact of change in team composition on player and team performance. We then examine the impact of past performance on future performance of players and teams. Performing a large-scale experiment on a real-world dataset, we observe that player and team performance can be predicted with fairly high accuracy and that information about change in team composition can further improve the prediction results.
Keywords :
computer games; human factors; social aspects of automation; Bungie; Halo 3 games; multiplayer first-person-shooter games; player performance; team performance; Computer science; Data mining; Educational institutions; Games; Manganese; Measurement; Prediction algorithms; first person shooter; multiplayer games; player performance; team changing; team composition; team performance; video games;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-1931-8
Type :
conf
DOI :
10.1109/PASSAT/SocialCom.2011.155
Filename :
6113181
Link To Document :
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