자동차 모의운전환경에서 Simulator Sickness의 예측 회귀모형 개발

• 영문명: Development of Regression Models for Predicting Simulator Sickness in Driving Simulation
• 발행기관: 한국시뮬레이션학회
• 저자명: 김도희(Do-Hoe Kim)
• 간행물 정보: 『한국시뮬레이션학회 논문지』제8권 제4호, 53~59쪽, 전체 7쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 1999.12.31

영문 초록

This study prφosed multiple linear regression models to predict those who can be easily infected simulator sickness(SS) in simulator or virtual reality environment. In this study, SSQ(Simulator Sickness Questionnaire) scores which are recently used for assessing SS, and RSSQ(Revised Simulator Sickness Questionnaire) scores are selected as dependent variables. Also ten dependent variables are used. The results are these models coefficient of determination(max R2=0.52) is improved 18% more than Kolasinski’s model(R2=0.35), and it became easy to predict with simple data. Accordingly, we can easily predict who will be apt to get into simulator sickness.

목차

1. 서론

2. Kolasinski 의 예측회귀모형

3 실험방법

4. 회귀분석 결과

5. 결론

참고문헌