• DocumentCode
    3658076
  • Title

    Interacting with multiple game genres using Motion Onset Visual Evoked Potentials

  • Author

    David Marshall;Ryan Beveridge;Shane Wilson;Damien Coyle

  • Author_Institution
    School of Computing and Intelligent Systems, Magee Intelligent Systems, Research Centre, Ulster University, Derry, Northern Ireland, U.K.
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    18
  • Lastpage
    27
  • Abstract
    Motion Onset Visually Evoked Potentials (mVEPs) allow users to interact with technology using non-visually fatiguing stimuli in a Brain Computer Interface (BCI). This study employs mVEP in an onscreen controller and evaluates players´ ability to use mVEP for online gameplay with games from three different genres namely action, puzzle and sports. The onscreen controller consists of five mVEP stimuli that are presented as buttons to allow the participant to choose from five different actions in each game. The performance was assessed based on online BCI accuracy and game score for each game. Results indicate that the players could control the games with an average online accuracy of 71% (5 class classification chance accuracy is 20%). The results also suggest that the use of the mVEP controller with a detailed environment and stimulating feedback in the form of an action game helped to attain the highest online accuracy (75%).
  • Keywords
    "Games","Visualization","Testing","Timing"
  • Publisher
    ieee
  • Conference_Titel
    Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES), 2015
  • Type

    conf

  • DOI
    10.1109/CGames.2015.7272957
  • Filename
    7272957