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미세 머리진동 신호 기반 몰입 평가를 이용한 게임 추천 시스템

원문정보

Game recommendation System using Immersion Evaluation based on Micro-Head Vibration

정원우, 김효익, 박준

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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

ABSTRACT
 1. 서론
 2. 이론적 배경
  2.1 몰입과 각성
  2.2 미세 머리진동
 3. 실험
  3.1 각성 분류에 대한 실험
  3.2 몰입과 각성 연관성에 대한 실험
 4. 각성과 몰입도 측정 시스템 설계
  4.1 데이터 추출
  4.2 각성 및 몰입도 평가 모델
 5. 각성과 몰입도 측정 시스템 평가
  5.1 각성 평가
  5.2 몰입도 평가
 6. 결론
 참고문헌

저자정보

  • 정원우 Won Woo Jung. Department of Computer Science, Hong-ik University
  • 김효익 Hyo Ik Kim. Department of Computer Science, Hong-ik University
  • 박준 Jun Park. Department of Computer Science, Hong-ik University

참고문헌

자료제공 : 네이버학술정보

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