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Training Synesthetic Letter-color Associations by Reading in Color
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Analyzing and predicting colour preference of colour palettes.

Shuxin Yu1, Lixia Wang2, Yanhong Yang1

  • 1Research Center of Graphic Communication, Printing and Packaging, Wuhan University, Wuhan 430079, China.

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|March 17, 2023
PubMed
Summary

Color preference is influenced by lightness and a new metric, Delta_Order, which considers color difference and placement. Lower Delta_Order values correlate with higher palette preference, aiding design applications.

Keywords:
Colour attributeColour differencePalette preferencePrediction model

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Area of Science:

  • Color Science
  • Psychophysics
  • Human-Computer Interaction

Background:

  • Color palettes convey significant information.
  • Understanding factors influencing color palette preference is crucial for design and industry.

Purpose of the Study:

  • To explore factors influencing color palette preference, including color attributes and inter-patch differences.
  • To introduce a novel metric, Delta_Order, for quantifying palette color differences.
  • To develop a predictive model for color palette preference.

Main Methods:

  • Two psychophysical experiments (analysis and validation) were conducted with 50 observers.
  • A new metric, Delta_Order, was developed, considering color difference and patch placement.
  • A prediction model for palette preference was proposed using lightness, chroma, and Delta_Order.

Main Results:

  • Lightness significantly impacts color preference, while hue angle does not.
  • A strong negative correlation (r = -0.801) was found between Delta_Order and preference score.
  • Observers preferred palettes with lower Delta_Order values.

Conclusions:

  • The proposed prediction model demonstrates good stability and accuracy in predicting palette preference.
  • The Delta_Order metric and preference model offer valuable guidance for color selection in design and industry.