미세 머리진동 신호 기반 몰입 평가를 이용한 게임 추천 시스템

• 영문명: Game recommendation System using Immersion Evaluation based on Micro-Head Vibration
• 발행기관: 한국컴퓨터게임학회
• 저자명: 정원우(Won Woo Jung) 김효익(Hyo Ik Kim) 박 준(Jun Park)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제29권 4호, 109~115쪽, 전체 7쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2016.12.30

영문 초록

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.

목차

1. 서론

2. 이론적 배경

3. 실험

4. 각성과 몰입도 측정 시스템 설계

5. 각성과 몰입도 측정 시스템 평가

6. 결론

키워드

Immersion Education Game Emotion Recognition Neural Network Recommendation System