Journal of the Korean Society of Cosmetology 2021;27(1):217-225.
Published online February 28, 2021.
VR기반 뷰티 콘텐츠의 메이크업 교과목 적용 연구
서혜경1, 김연주2, 이설현2, 김선형3
1광주여자대학교 미용과학과
2광주여자대학교 미용과학과
3광주여자대학교 미용과학과
Application of Virtual Reality (VR)-based Beauty Contents to Makeup Courses
Heo-kyeong Seo1, Yeon-ju Kim2, Seol-hyeon Lee2, Sun-hyoung Kim3
1Dept. of Beauty Science, Kwangju Women’s University
2Dept. of Beauty Science, Kwangju Women’s University
3Dept. of Beauty Science, Kwangju Women’s University
Correspondence:  Sun-hyoung Kim, Tel: 82-62-950-3765, 
Received: 19 October 2020   • Revised: 25 December 2020   • Accepted: 5 February 2021
This study attempted to investigate the possibility and effectiveness of virtual reality (VR)-based makeup education by examining theperception of VR by college women who are majoring in cosmetology and empirically analyze the influence of VR-based beautycontents on makeup courses. The goal is to suggest the possibility of convergence in education by finding the best way to apply VRbased beauty contents to makeup courses, and the results found the followings: The respondents’ perception of VR and the application ofVR contents to makeup courses was higher after the application of the new technology, which means that students are familiar withadvanced information communication technologies. It is also anticipated that VR content would have a positive effect on cosmetologycourses which require segmentation and specialization. As the perception of VR improved, the respondents have become more aware ofthe application of VR-based beauty content to makeup courses. Therefore, effects on makeup education due to VR content are expected.It appears that there should be further studies on the development and application of various VR-based beauty content and educationalprograms.
Key Words: Application to Makeup Courses, Virtual Reality, VR

Editorial Office
95 Hoamro, Uijeongbu-city, Gyeonggi-do 11644, Korea
Tel: +82-10-2825-6735        E-mail:                

Copyright © 2021 by Korean Society of Cosmetology.

Developed in M2PI

Close layer
prev next