혼합 감성평가 방법의 타당성과 고찰

Abstract

When a game was developed, it is impossible to predict the success of the game. Most game developersmade a game play test stage in game development process. It is important factor that gamer have goodemotion playing the game. There are many ways of gamer's emotion test such questionnaire suvey, EEGtest and etc.. but their tests are hard to quantify the results. Gamer's emotion are evolveing according toplaying the game. Gamer's emotions are one of important criteria that is used for choosing a game bygamers. Nevertheless, the emotion detection is not considered for play test, because of the difficulty. Theemotions of each gamers are different because of their own skills, experiences, preferences, etc. In recentyears, 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.

When a game was developed, it is impossible to predict the success of the game. Most game developersmade a game play test stage in game development process. It is important factor that gamer have goodemotion playing the game. There are many ways of gamer's emotion test such questionnaire suvey, EEGtest and etc.. but their tests are hard to quantify the results. Gamer's emotion are evolveing according toplaying the game. Gamer's emotions are one of important criteria that is used for choosing a game bygamers. Nevertheless, the emotion detection is not considered for play test, because of the difficulty. Theemotions of each gamers are different because of their own skills, experiences, preferences, etc. In recentyears, 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.