The Influence Of Professional Color Competence On Color Lexicon And Naming Pattern

Griber, Yulia A.; Paramei, Galina V.

doi:10.15405/epsbs.2019.12.69

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…We would like to remark that in our colour-naming study of pCPs 19,20 we found that, along with "darkening", these respondents also revealed an increased frequency of 'pale'-, 'dull'-and 'pastel'-modifiers, which hint to desaturation of perceived colours. Notably, comments that colours looked duller, paler or less glossy were recorded from patients with optic neuritis 58 .…”

Section: Discussionmentioning

confidence: 72%

“…One may query loci and mechanism(s) that underlie mild colour discrimination impairment in about half of those who revered from COVID-19. Leaning on our findings of increased naming "darkening" of colours by pCPs 19,20 , we pondered that it might manifest an accelerated brunescence of the crystalline lens, resulting in an increased absorption of light, in particular, in the blue and purple gamut. Further, if lens brunescence has developed over a short illness time span, the affected colour perception could not have been compensated (at the level of colour naming), since the compensation process being developed across the age span 54 .…”

Section: Discussionmentioning

confidence: 90%

“…General "darkening" of perceived colours by pCPs was hinted by our recent colournaming study 19,20 : supposedly, perceived colour dimming transpired into a greater prevalence, than in pre-COVID controls, of the terms 'brown' and 'grey', and higher frequency of achromatic modifiers 'dark' and 'dirty', these elicited particularly frequently in combination with 'green', 'blue', and 'purple'.…”

Section: Discussionmentioning

confidence: 97%

“…During the pandemic, in an online experiment we explored colour naming in post-COVID participants (pCPs), as a proxy of (affected) CV, and compared their responses with those obtained before the pandemic in healthy controls with normal CV 19,20 . Our study demonstrated that, compared to the controls, pCPs more frequently used names 'brown', 'green', and 'grey', as well as achromatic modifiers 'dark', 'dirty', 'pale', 'dull', and 'pastel', hinting to general "darkening" and "desaturation" of perceived colours.…”

Section: Introductionmentioning

confidence: 99%

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Colour discrimination in post-COVID-19 observers assessed by the Farnsworth-Munsell 100-Hue test

Paramei

Griber

2023

Preprint

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Post-COVID-19, recorded were various ophthalmological symptoms and visual impairment. We hypothesised that colour vision may be affected too. We assessed colour discrimination using the Farnsworth-Munsell 100 Hue test (FM-100) in individuals, who have had COVID-19 (N=77; 18–68 years). Total error score (TES) indicated superior colour discrimination in 34 observers. The Vingrys–King-Smith C-index (severity) exceeded the normal cutoff measure in 44 observers. In participants (N=35) with average TES, the Vingrys–King-Smith analysis revealed subtle colour deficiencies – either a mild tritan defect (‘blue’ or blue-yellow) or moderate defect with a diffuse error pattern. A minor sub-sample (N=6) manifested poor discrimination or colour vision loss (N=2), with a tritan or diffuse error pattern. √TES negatively correlated with the recovery time lapse. Partial error scores (√PES) indicated prevailing B–Y errors, regardless of the elapsed post-illness period. Overall, the results indicate that about half of those who have recovered from COVID-19 reveal predominantly mild Type III acquired colour discrimination loss, characteristic of retinal disorders and vascular disease. Conceivably, coronavirus infection caused hypoperfusion (reduced vascular supply) at the retinal and/or post-retinal stages of the visual system having affected neural mechanisms of colour discrimination. The mild impairment appears to be reversible with a favourite prognosis.

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Section: Discussionmentioning

confidence: 72%

Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Colour discrimination in post-COVID-19 observers assessed by the Farnsworth-Munsell 100-Hue test

Paramei

Griber

2023

Preprint

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“…After all, research clearly demonstrates that professionals and non-professionals differ markedly in the processing of color-related information. They understand the color structure of architectural buildings and works of art differently (Li et al 2020), perceive the structure of color combinations differently (Griber and Samoilova 2022), and even describe the colors that they see differently (Griber et al 2018;Paramei and Griber 2019).…”

Section: Introductionmentioning

confidence: 99%

“Playing” with Color: How Similar Is the “Geometry” of Color Harmony in the CIELAB Color Space across Countries?

Griber,

Samoilova,

Al-Rasheed

et al. 2024

Arts

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In physical environments and cultural landscapes, we most often deal not with separate colors, but with color combinations. When choosing a color, we usually try to “fit” it into a preexisting color context, making the new color combination harmonious. Yet are the “laws” of color harmony fundamental to our shared cognitive architecture, or are they cultural products that vary from country to country? To answer these questions we conducted an experiment with 599 participants aged 18 to 76 from eight different countries, including Algeria (MA = 26.2 years; SD = 8.8; 49 men, 26 women), Belarus (MA = 19.8 years; SD = 9.1; 19 men, 63 women), Italy (MA = 29.0 years; SD = 12.8; 23 men, 67 women), Mexico (MA = 20.0 years; SD = 7.0; 34 men, 23 women), Nigeria (MA = 34.7 years; SD = 10.5; 29 men, 32 women), Russia (MA = 24.6 years; SD = 6.3; 17 men, 72 women), Saudi Arabia (MA = 24.5 years; SD = 8.6; 28 men, 38 women), and Chile (MA = 34.3 years; SD = 15.1; 35 men, 43 women). To create experimental stimuli, we used 10 color combinations composed by the Russian avant-garde artist Mikhail Matyushin and his disciples for the Reference Book of Color (1932) based on shades that were typical in architectural design—yellow ochre, light umber, light ochre, and burnt umber. We removed the “intermediary” linking color from each of the selected color triads and asked participants to adjust the color of this band according to their liking. Mapping 2995 color choices into CIELAB and CIELCh color space to identify their chromatic characteristics (hue, lightness, and chroma), we demonstrate graphically that color triads in different cultures have a different “geometry” in CIELAB color space and on the color circle. We conclude that the revealed patterns of these relationships reflect cross-cultural “shifts” in human perception of color harmony. The analysis presented in this paper will facilitate opportunities for architects, designers, and other color professionals to create culturally specific harmonic color combinations in urban environments.

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Intergenerational differences in Russian color naming in the globalized era: linguistic analysis

Griber

Mylonas

Paramei

2021

Humanit Soc Sci Commun

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The present study is an apparent-time analysis of color terms in Russian native speakers (N = 1927), whose age varied between 16 and 98 years. Stratified sampling was employed with the following age groups: 16–19, 20–29, and so on, with the oldest group of 70 years and over. Color names were elicited in a web-based psycholinguistic experiment (http://colournaming.com). Participants labeled color samples (N = 606) using an unconstrained color-naming method. Color vocabulary of each age group was estimated using multiple linguistic measures: diversity index; frequency of occurrences of 12 Russian basic color terms (BCTs) and of most frequent non-BCTs; color-naming pattern. Our findings show intergenerational differences in Russian color-term vocabulary, color-naming patterns, and object referents. The CT diversity (measured by the Margalef index) progressively increments with speakers’ juniority; the lexical refinement is manifested by the increasing variety of BCT modifiers and growing use of non-BCTs, both traditional and novel. Furthermore, the most frequent Russian non-BCTs sirenevyj “lilac”, salatovyj “lettuce‐colored”, and birûzovyj “turquoise” appear to be the emerging BCTs. The greatest diversity and richness of CT inventory is observed in Russian speakers aged 20–59 years, i.e., those who constitute the active workforce and are enthusiastic consumers. In comparison, speakers of 60 and over manifest less diverse color inventory and greater prevalence of (modified) BCTs. The two youngest groups (16–29 years) are linguistic innovators: their color vocabulary includes abundant recent loanwords, predominantly from English and, not infrequently, CTs as nouns rather than adjectives. Moreover, Generation Z (16–19 years) tend to offer highly specific or idiosyncratic color descriptors that serve expressive rather than informative function. The apprehended dynamics of color naming in apparent time reflects intergenerational differences as such, but even more so dramatic changes of sociocultural reality in the post-Soviet era, whereby Russian speakers, in particular under 60 years, were/are greatly impacted by globalization of trade: new market product arrivals resulted in adoption of novel and elaboration of traditional CTs for efficient communication about perceived color

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The Influence Of Professional Color Competence On Color Lexicon And Naming Pattern

Cited by 3 publications

References 16 publications

Colour discrimination in post-COVID-19 observers assessed by the Farnsworth-Munsell 100-Hue test

Colour discrimination in post-COVID-19 observers assessed by the Farnsworth-Munsell 100-Hue test

“Playing” with Color: How Similar Is the “Geometry” of Color Harmony in the CIELAB Color Space across Countries?

Intergenerational differences in Russian color naming in the globalized era: linguistic analysis

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