Variations in normal color vision. VI. Factors underlying individual differences in hue scaling and their implications for models of color appearance. (December 2017)

• Record Type: Journal Article
• Authors: Emery, Kara J.; Volbrecht, Vicki J.; Peterzell, David H.; Webster, Michael A.
• Is Part Of: Vision research. Volume 141(2017)
• Page Start: 51
• Page End: 65
• Publication Date: 2017-12
• Subjects: Color -- Color appearance -- Individual differences -- Factor analysis -- Color opponency; Vision -- Periodicals; 573.88
• DOI: 10.1016/j.visres.2016.12.006
• Languages: English
• ISSNs: 0042-6989

Abstract

Highlights: Color-normal observers vary widely in their color percepts. Factor analyses of the differences suggest they depend on multiple, narrowly-tuned factors. These factors are inconsistent with conventional models of color opponency. The factors may reflect a population code for color appearance. Abstract: Observers with normal color vision vary widely in their judgments of color appearance, such as the specific spectral stimuli they perceive as pure or unique hues. We examined the basis of these individual differences by using factor analysis to examine the variations in hue-scaling functions from both new and previously published data. Observers reported the perceived proportion of red, green, blue or yellow in chromatic stimuli sampling angles at fixed intervals within the LM and S cone-opponent plane. These proportions were converted to hue angles in a perceptual-opponent space defined by red vs. green and blue vs. yellow axes. Factors were then extracted from the correlation matrix using PCA and Varimax rotation. These analyses revealed that inter-observer differences depend on seven or more narrowly-tuned factors. Moreover, although the task required observers to decompose the stimuli into four primary colors, there was no evidence for factors corresponding to these four primaries, or for opponent relationships between primaries. Perceptions of "redness" in orange, red, and purple, for instance, involved separate factors rather than one shared process for red. This pattern was compared to factor analyses of Monte Carlo simulations of the individual differences in scaling predicted by variations in standard opponent mechanisms, such as their spectral tuning or relative sensitivity. The observed factor pattern is inconsistent with these models and thus with conventional accounts of color appearance based on the Hering primaries. Instead, our analysis points to a perceptual representation of color in terms of multiple mechanisms or decision rules that each influence the perception of only a relatively narrow range of hues, potentially consistent with a population code for color suggested by cortical physiology.