Determination of unique hues using Munsell color chips

Kuehni, Rolf G.

doi:10.1002/1520-6378(200102)26:1<61::aid-col6>3.0.co;2-p

Cited by 82 publications

(31 citation statements)

References 10 publications

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“…Differences in colour preferences between males and females have also been demonstrated (Saito, 1994;Saito, 1996;Saito, 1999;Hurlbert & Ling, 2007); as have differences in unique-hue judgments for yellow and red (Kuehni, 2001). …”

Section: Introductionmentioning

confidence: 91%

Sex-related differences in chromatic sensitivity

et al. 2008

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This is the unspecified version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractGenerally women are believed to be more discriminating than men in the use of colour names and this is often taken to imply superior colour vision. However, if both Xchromosome linked colour deficient males (~8%) and females (<1%) as well as heterozygote female carriers (~15%) are excluded from comparisons, then differences between men and women in red-green colour discrimination have been reported as not being significant (e.g., Pickford, 1944;Hood et al., 2006). We re-examined this question by assessing the performance of 150 males and 150 females on the Colour Assessment and Diagnosis (CAD)test (Rodriguez-Carmona, 2005). This is a sensitive test that yields small colour detection thresholds. The test employs direction-specific, moving, chromatic stimuli embedded in a background of random, dynamic, luminance contrast noise. A four-alternative, forced-choice

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Section: Introductionmentioning

confidence: 91%

Sex-related differences in chromatic sensitivity

et al. 2008

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“…In particular, female observers revealed larger Rayleigh anomaloscope matches (Rodríguez-Carmona, Sharpe, Harlow and Barbur, 2008) with a range of unique reds about twice as wide as for male observers (Kuehni, 2001). In colour-discrimination tasks, males were found to have a broader range of poorer discrimination in the middle of the spectrum (530-570 nm) compared to females (Abramov, Gordon, Feldman and Chavarga, 2012).…”

Section: Introduction: Gender Differences In Colour Vocabulary Coloumentioning

confidence: 99%

“…These differences are suggested to reflect genetic variation in the opponent system responses (Kuehni, 2001) or heterozygosity in Xchromosome allele genes coding for cone photopigments common among females (Rodríguez-Carmona et al, 2008).…”

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confidence: 99%

Gender differences in colour naming

2014

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Gender differences in colour naming were explored using a web-based experiment in English. Each participant named 20 colours selected from 600Munsell samples, presented one at a time against a neutral background.Colour names and typing onset response times were registered. For the eleven basic colour terms, elicitation frequency was comparable for both genders. Females demonstrated though more elaborated colour vocabulary, with more descriptors in general and more non-basic monolexemic terms; they also named colours faster than males. The two genders differ in the repertoire of frequent colour terms: a Bayesian synthetic observer revealed that women segment colour space linguistically more densely in the "warm" area whereas men do so in the 'cool' area. Current "nurture" and "nature" explanations of why females excel in colour naming behaviour are considered.

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“…The stimuli corresponding to unique hues can be found by varying a spectral stimulus until it appears pure (e.g., to find the point at which a red stimulus appears untinged by blue or yellow). [9][10][11][12] More generally, the red-green or blue-yellow responses to any stimulus can be measured by physically nulling the hue sensation (e.g., by adding a "green" light to the stimulus until any redness in the stimulus is canceled) 13 or by scaling the component sensations (e.g., by judging the relative amounts of red and yellow that make up an orange stimulus). [14][15][16][17] Another approach to studying color appearance has been to test for consensus in color naming across observers.…”

Section: Introductionmentioning

confidence: 99%

Variations in normal color vision IV Binary hues and hue scaling

2005

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We used hue cancellation and focal naming to compare individual differences in stimuli selected for unique hues (e.g., pure blue or green) and binary hues (e.g., blue-green). Standard models assume that binary hues depend on the component responses of red-green and blue-yellow processes. However, variance was comparable for unique and binary hues, and settings across categories showed little correlation. Thus, the choices for the binary mixtures are poorly predicted by the unique hue settings. Hue scaling was used to compare individual differences both within and between categories. Ratings for distant stimuli were again independent, while neighboring stimuli covaried and revealed clusters near the poles of the LvsM and SvsLM cardinal axes. While individual differences were large, mean focal choices for red, blue-green, yellow-green, and (to a lesser extent) purple fall near the cardinal axes, such that the cardinal axes roughly delineate the boundaries for blue vs. green and yellow vs. green categories. This suggests a weak tie between the cone-opponent axes and the structure of color appearance.

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Determination of unique hues using Munsell color chips

Cited by 82 publications

References 10 publications

Sex-related differences in chromatic sensitivity

Sex-related differences in chromatic sensitivity

Gender differences in colour naming

Variations in normal color vision IV Binary hues and hue scaling

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