Earticle

초록

영어

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.

목차

ABSTRACT
 1. 서론
 2. 관련 연구
  2.1 감성 모델
  2.2 EEG 신호 분석
  2.3 감성 어휘 추출
  2.4 사용성 평가
 3. 평가 방법
  3.1 EEG 신호 분석
  3.2 감성 어휘
  3.3 혼합 감성평가 방법
 4. 결론
 참고문헌

키워드

저자

• 박상용 [ Sang Yong Park | Graduate school of Advanced Imaging Science, Multimedia and Film, Chung-Ang University ]
• 심한뫼 [ Han Moi Sim | Graduate school of Advanced Imaging Science, Multimedia and Film, Chung-Ang University ]
• 이원형 [ Won Hyung Lee | Graduate school of Advanced Imaging Science, Multimedia and Film, Chung-Ang University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  컴퓨터게임및콘텐츠논문지(구 한국컴퓨터게임학회논문지) [Journal of Computer Games and Contents]

• 간기

  월간

• pISSN

  3091-7409

• eISSN

  3092-3638

• 수록기간

  2002~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 691 DDC 793