| Title |
Plans to Construct a VR-EEG Based on the Healing Space Visual Perception Element Optimization Model |
| Authors |
김상희(Kim, Sang-Hee) ; 이권형(Lee, Kweon-Hyoung) ; 추승연(Choo, Seung-Yeon) |
| DOI |
https://doi.org/10.5659/JAIK.2022.38.6.77 |
| Keywords |
VR-EEG; Healing Space; Visual Perceptual Element; optimization model |
| Abstract |
This study aims to analyze users’ EEG responses of visual perception elements for a reproduced healing space in an immersive virtual reality
setting to construct a model that can produce a visual perception element combination scheme. A brain wave measurement experiment was
carried out targeting a total of 33 females that measured their changes in arousal and stress levels before and after stimulation using RAB
and RHB indices to apply the analysis results for model construction. Statistically, it was verified that changes in visual perception elements
such as aspect ratio of space, ceiling height and window area ratio influenced EEG, which is involved in the relaxation-arousal and stress
levels of research participants. This implied that reflecting on users’ physiological responses in planning a healing space is essential. Arousal
and stress levels of research participants differed in each virtual reality space, applying changes in spatial and visual perception elements.
There was a specific part of the brain that responded sensitively, which signified a need for a model that can perform an integrated analysis.
Standardization was applied to correct the RAB and RHB indices to extract the arousal and stress level ranges using the deviation percentage
of the median values from the corrected indices. An integrated matrix of arousal and stress levels were devised to suggest a standard domain
for selecting a combination of visual perception elements optimized for a healing space. Lastly, an optimized model integrating an EEG data
analysis framework and matrix were designed. This model is a variable model where the result value can change depending on the healing
space visual perception element and EEG indicators. In the future, this research would be useful for planning a healing space that applies
physiological responses. |