• 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