Title(KR)
미세 머리진동 신호 기반 몰입 평가를 이용한 게임 추천 시스템
Title(ENG)
Game recommendation System using Immersion Evaluation based on Micro-Head Vibration
Keywords(KR)
Immersion, Education, Game, Emotion Recognition, Neural Network, Recommendation System
Keywords(ENG)
Immersion, Education, Game, Emotion Recognition, Neural Network, Recommendation System
Author
Won Woo Jung, Hyo Ik Kim, Jun Park
Abstract(ENG)
The market for Game is gradually expanding every year, but most of games are disappearing. For this Reason, User have chosen games based on external factors, and users have been not able to choose customized games for users. Thus, This study aim to provide customized game contents to users among 6 content (logic, space, word, nature, body, music) by making a immersion evaluation model using the Csikszentmihalyi’s theory of flow and Gardner's theory of multiple intelligence. First, it is assumed that the definition of immersion can be obtained as an arousal which is an axis of the emotion criterion. Then, after learning the arousal classification model based on the head micro-vibration as emotion signal, the immersion evaluation system is verified through the evaluation with the multi-intelligence theory. As a result, the user can be informed of what contents are most immersed in the content, and allow to choose the game suitable for himself.
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