Parsimonious Approach to in Analyzing Brainwaves for VR Users

Abstract

For the development of virtual reality (VR) technology, research to solve the VR Sickness is essential. Many attempts have been made to measure and reduce VR Sickness using questionnaires, analysis, and bio-signals, but it is true that analytical research through clinical practice still lacks. In this paper, the researcher collected bio-signals and questionnaire data to analyze the correlation between VR Sickness and user and perform principal component analysis and chi-square independence test based on the collected data. As a result, the researcher was able to be aware of the user's concentration and relaxation state by EEG and found they are correlated with VR Sickness. Finally, the result of the analysis was cross-checked to confirm that these correlations show a significant difference. The empirical result of this study is expected to be used for the research to reduce VR Sickness through bio-signal.