Human perceptual responses to multiple colors: A study of multicolor perceptual features modeling

Abstract This article models multicolor perceptual features to investigate human perceptual responses to multiple colors based on a subjective evaluation experiment. First, an image set containing 164 multicolor samples was constructed, and multicolor objective features containing two categories with 60 dimensions were designed and quantified. Based on this, the 164 samples were evaluated by 30 subjects based on nine perceptual descriptive variables, including “swell‐shrink,” “light‐dark,” and “far‐near.” Then, a mathematical model of multicolor perceptual features (nine descriptive variables) was established by support vector regression. Finally, this article conducted model evaluation and factor analysis, and the results showed that the model could predict multicolor perceptual features well. It was also observed that, unlike single‐color perception, space perception was produced when applying multiple colors.