
"A color space is perceptually uniform if a change of length in any direction X of the color space is perceived by a human as the same change. Non-uniform perceptual color spaces like RGB and RYB can have stark contrasts when transitioning from one hue to another hue. In data visualization, these contrasts can be mistaken as changes in the data rather than as transitions in the color palette."
"As a result, many data visualization practitioners prefer to work in the perceptual uniform CIE LAB or Hue Chroma Luminance (HCL) color spaces. Unfortunately, these color spaces have irregularly shaped geometries resulting in challenges to calculate color combinations that also pass color deficiency. Gen AI systems, like DeepSeek, can help to quickly locate these perceptual uniform color schemes for data visualization."
Perceptual uniformity means equal-length changes in a color space are perceived equally by humans. Non-uniform spaces such as RGB and RYB can create stark, misleading contrasts when hues transition, which may be interpreted as data changes. Data visualization practitioners often prefer CIE LAB or HCL because they are more perceptually uniform. Those perceptual color spaces have irregular geometries that complicate calculating color combinations that also satisfy color-deficiency requirements. Generative AI systems can search these complex spaces to propose perceptually uniform triads that pass color-deficiency checks. Using such AI-generated triads reduces unintended visual emphasis and improves accessibility in visualizations.
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