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
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