미세 머리진동 신호 기반 몰입 평가를 이용한 게임 추천 시스템
(주)코리아스칼라
- 최초 등록일
- 2023.04.05
- 최종 저작일
- 2016.12
- 7페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 한국컴퓨터게임학회
ㆍ수록지정보 : 한국컴퓨터게임학회 논문지 / 29권 / 4호
ㆍ저자명 : 정원우, 김효익, 박준
목차
ABSTRACT
1. 서론
2. 이론적 배경
3. 실험
4. 각성과 몰입도 측정 시스템 설계
5. 각성과 몰입도 측정 시스템 평가
6. 결론
참고문헌
영어 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.
참고 자료
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