Perceiving and Learning Color as Sound in Virtual Reality

Virtual reality (VR) is an emerging technology with the capacity to enhance users’ perceptual skills. People with visual impairments, such as color blindness and low vision, often struggle to perceive colors accurately in VR settings. This paper introduces a novel technique that translates sound into color perception within a VR environment. The approach involves mapping seven primary colors from the visible spectrum onto specific piano notes in the major scale. Three experimental tasks—ordering, selection, and the Stroop test—were conducted. Results from the user study revealed promising kappa values of 0.73 and 0.52 for the selection task and Stroop test, respectively, indicating successful learning and understanding of the color-sound associations. This research opens new possibilities for sound-based color perception to enhance accessibility and therapeutic use in VR.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00151
Citations
1
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
0.64
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article

Perceiving and Learning Color as Sound in Virtual Reality

Mohammed Safayet Arefin, Nathaniel Blanchard, Changsoo Jung, Mariah Bradford et al.
1 citations
Color perception and design
0.64
article

Perceiving and Learning Color as Sound in Virtual Reality

Mohammed Safayet Arefin, Nathaniel Blanchard, Changsoo Jung, Mariah Bradford, Ethan Seefried, Videep Venkatesha, Jessica Bahny
article en
1 citations

Abstract

Virtual reality (VR) is an emerging technology with the capacity to enhance users’ perceptual skills. People with visual impairments, such as color blindness and low vision, often struggle to perceive colors accurately in VR settings. This paper introduces a novel technique that translates sound into color perception within a VR environment. The approach involves mapping seven primary colors from the visible spectrum onto specific piano notes in the major scale. Three experimental tasks—ordering, selection, and the Stroop test—were conducted. Results from the user study revealed promising kappa values of 0.73 and 0.52 for the selection task and Stroop test, respectively, indicating successful learning and understanding of the color-sound associations. This research opens new possibilities for sound-based color perception to enhance accessibility and therapeutic use in VR.

Colorado State University (US)
Openalex Percentile: Top 25%
Color perception and design
0.64
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Perceiving and Learning Color as Sound in Virtual Reality — Mohammed Safayet Arefin, Nathaniel Blanchard, et al. · (2024) | TGRS Research Map | TGRS