Applying Brain-Computer Interface Technology for Evaluation of User Experience in Playing Games

The Brain-computer interface (BCI) technology reliably produce changes of individuals electroencephalographic (EEG) activity, while users experience (UX) evaluation in games refers to assess the players experience (like fun, boring, engaged, etc.) in playing games. Thus the BCI technology could be used as an effective alternative means of measuring the users emotions or User Experience (UX) in playing games, which in turn will help practitioners to evaluate as well as to re-design the computer or mobile games. Therefore, the objective of this research is to propose a system based on brain-computer interface technology for evaluating the user (player) experience in playing computer games. To attain this objective, in this paper, firstly with the help of a headset that reads electroencephalogram (EEG) signals, raw data of individual's brain were extracted while the individual was playing a computer game. After that, the brain signal curves were generated from the extracted raw data. Next, the brain signals were analyzed to detect the individual's mood or emotion, which in turn provide the player's (user) experience while playing games. The system was also demonstrated with a single player while playing the ‘DX-Ball’ game to assess the system's performance in evaluating the UX of ‘DX-Ball’ game.