When a game was developed, it is impossible to predict the success of the game. Most game developers made a game play test stage in game development process. It is important factor that gamer have good emotion playing the game. There are many ways of gamer's emotion test such questionnaire suvey, EEG test and etc.. but their tests are hard to quantify the results. Gamer's emotion are evolveing according to playing the game. Gamer's emotions are one of important criteria that is used for choosing a game by gamers. Nevertheless, the emotion detection is not considered for play test, because of the difficulty. The emotions of each gamers are different because of their own skills, experiences, preferences, etc. In recent years, the emotion detection technology is evolved, but it is not enough to guarantee the accuracy. In this paper, we propose a hybrid emotion classification system by EEG(Electroencephalogram) test, questionnaire suvey and eyetracking.

혼합 감성평가 방법의 타당성과 고찰
  ABSTRACT
  1. 서론
  2. 관련 연구
  3. 평가 방법
  4. 결론
  참고문헌

• 박상용(Graduate school of Advanced Imaging Science, Multimedia and Film, Chung-Ang University) | Sang Yong Park
• 심한뫼(Graduate school of Advanced Imaging Science, Multimedia and Film, Chung-Ang University) | Han Moi Sim
• 이원형(Graduate school of Advanced Imaging Science, Multimedia and Film, Chung-Ang University) | Won Hyung Lee Correspondence to