RGB Color Model: Effect of Color Change on a User in a VR Art Gallery Using Polygraph.

Area of Science:

• Computer Vision
• Human-Computer Interaction
• Color Science

Background:

• Human color perception is complex and can be influenced by the viewing environment.
• Virtual reality (VR) offers immersive experiences but requires understanding how visual stimuli affect users.
• Existing research lacks objective physiological measurements of color perception within VR.

Purpose of the Study:

• To investigate human color perception in a virtual reality art gallery.
• To analyze the physiological responses of users to controlled color changes in VR.
• To establish a novel methodology for evaluating color vision in VR using biosensors.

Main Methods:

• Developed a VR art gallery with digital twins of artworks.
• Applied colorimetry and the L*a*b* and RGB color models for environment color modification.
• Utilized C# Script for smooth and sudden color tone transitions.
• Recorded user physiological data using five lie detector sensors during VR interaction.

Main Results:

• Successfully created a color-modifiable VR environment.
• Collected physiological data correlating with user responses to color stimuli.
• Demonstrated the feasibility of using biosensors to objectively measure perception in VR.
• Established a foundational methodology for analyzing VR color perception data.

Conclusions:

• This research provides a novel approach to studying color vision in VR.
• The methodology offers an objective basis for understanding user responses to color.
• Findings support further research and potential commercial applications in VR color design.