Increased color preference through the introduction of luminance noise in chromatic stimuli.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
12 Aug 2024
12 Aug 2024
Historique:
received:
21
12
2023
accepted:
07
08
2024
medline:
13
8
2024
pubmed:
13
8
2024
entrez:
12
8
2024
Statut:
epublish
Résumé
Humans exhibit consistent color preferences that are often described as a curvilinear pattern across hues. The recent literature posits that color preference is linked to the preference for objects or other entities associated with those colors. However, many studies examine this preference using isoluminant colors, which don't reflect the natural viewing experience typically influenced by different light intensities. The inclusion of random luminance levels (luminance noise) in chromatic stimuli may provide an initial step towards assessing color preference as it is presented in the real world. Employing mosaic stimuli, this study aimed to evaluate the influence of luminance noise on human color preference. Thirty normal trichromats engaged in a two-alternative forced-choice paradigm, indicating their color preferences between presented pairs. The chromatic stimuli included saturated versions of 8 standard hues, presented in mosaics with varying diameters under different luminance noise conditions. Results indicated that the inclusion of luminance noise increased color preference across all hues, specifically under the high luminance noise range, while the curvilinear pattern remained unchanged. Finally, women exhibit a greater sensitivity to the presence of luminance noise than men, potentially due to differences between men and women in aesthetic evaluation strategies.
Identifiants
pubmed: 39134609
doi: 10.1038/s41598-024-69690-z
pii: 10.1038/s41598-024-69690-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
18711Informations de copyright
© 2024. The Author(s).
Références
Palmer, S. E. & Schloss, K. B. Color Preference. in Encyclopedia of Color Science and Technology 1–7 (Springer, Berlin, 2015). https://doi.org/10.1007/978-3-642-27851-8_70-13 .
Hurlbert, A. & Owen, A. Biological, cultural, and developmental influences on color preferences. In Handbook of Color Psychology (eds Elliot, A. J. et al.) (Cambridge University Press, Cambridge, 2015).
Palmer, S. E., Schloss, K. B. & Sammartino, J. Visual aesthetics and human preference. Annu. Rev. Psychol. 64, 77–107 (2013).
doi: 10.1146/annurev-psych-120710-100504
pubmed: 23020642
Vartanian, O. Color. in The Oxford Handbook of Empirical Aesthetics 475–487 (Oxford University Press, Oxford, 2021). https://doi.org/10.1093/oxfordhb/9780198824350.013.3 .
Palmer, S. E. & Schloss, K. B. An ecological valence theory of human color preference. Proc. Natl. Acad. Sci. 107, 8877–8882 (2010).
doi: 10.1073/pnas.0906172107
pubmed: 20421475
pmcid: 2889342
Schloss, K. B., Poggesi, R. M. & Palmer, S. E. Effects of university affiliation and “school spirit” on color preferences: Berkeley versus Stanford. Psychon. Bull. Rev. 18, 498–504 (2011).
doi: 10.3758/s13423-011-0073-1
pubmed: 21380587
pmcid: 3098359
Strauss, E. D., Schloss, K. B. & Palmer, S. E. Color preferences change after experience with liked/disliked colored objects. Psychon. Bull. Rev. 20, 935–943 (2013).
doi: 10.3758/s13423-013-0423-2
pubmed: 23616112
Taylor, C. & Franklin, A. The relationship between color–object associations and color preference: Further investigation of ecological valence theory. Psychon. Bull. Rev. 19, 190–197 (2012).
doi: 10.3758/s13423-012-0222-1
pubmed: 22302645
Yokosawa, K., Schloss, K. B., Asano, M. & Palmer, S. E. Ecological effects in cross-cultural differences between U.S. and Japanese color preferences. Cogn. Sci. 40, 1590–1616 (2016).
doi: 10.1111/cogs.12291
pubmed: 26400420
Al-Rasheed, A. S., Franklin, A. & Maule, J. A test of the ecological valence theory of color preference, the case of Arabic. Front. Psychol. 13, 1010108 (2022).
doi: 10.3389/fpsyg.2022.1010108
pubmed: 36619074
pmcid: 9812952
Taylor, C., Clifford, A. & Franklin, A. Color preferences are not universal. J. Exp. Psychol. Gen. 142, 1015–1027 (2013).
doi: 10.1037/a0030273
pubmed: 23148465
Liao, S. & Yoshizawa, T. Memory colors of familiar objects induce general color preference. Color Res. Appl. https://doi.org/10.1002/col.22906 (2023).
doi: 10.1002/col.22906
Yu, L. et al. Analysis of research strategies to determine individual color preference: N-alternative forced choice, rank-order, rating and paired comparison. Color Res. Appl. 48, 222–229 (2023).
doi: 10.1002/col.22836
DiCarlo, J. J., Zoccolan, D. & Rust, N. C. How does the brain solve visual object recognition?. Neuron 73, 415–434 (2012).
doi: 10.1016/j.neuron.2012.01.010
pubmed: 22325196
pmcid: 3306444
Párraga, C. A., Brelstaff, G., Troscianko, T. & Moorehead, I. R. Color and luminance information in natural scenes. J. Opt. Soc. Am. A 15, 563 (1998).
doi: 10.1364/JOSAA.15.000563
Allard, R., Faubert, J. & Pelli, D. G. Using noise to characterize vision. Front. Psychol. 6, 1707 (2015).
doi: 10.3389/fpsyg.2015.01707
pubmed: 26635647
pmcid: 4644797
Regan, B. C., Reffin, J. P. & Mollon, J. D. Luminance noise and the rapid determination of discrimination ellipses in colour deficiency. Vis. Res. 34, 1279–1299 (1994).
doi: 10.1016/0042-6989(94)90203-8
pubmed: 8023437
Cormenzana Méndez, I. et al. Color discrimination is affected by modulation of luminance noise in pseusochromatic stimuli. Front. Psychol. 7, 1006 (2016).
doi: 10.3389/fpsyg.2016.01006
pubmed: 27458404
pmcid: 4934133
Souza, G. S. et al. Low number of luminance levels in the luminance noise increases color discrimination thresholds estimated with pseusochromatic stimuli. Front. Psychol. 5, 1291 (2014).
doi: 10.3389/fpsyg.2014.01291
pubmed: 25566106
pmcid: 4274881
Miquilini, L. et al. Influence of spatial and chromatic noise on luminance discrimination. Sci. Rep. 7, 16944 (2017).
doi: 10.1038/s41598-017-16817-0
pubmed: 29208981
pmcid: 5717058
Sousa, B. R. S. et al. Specificity of the chromatic noise influence on the luminance contrast discrimination to the color vision phenotype. Sci. Rep. 10, 17897 (2020).
doi: 10.1038/s41598-020-74875-3
pubmed: 33087826
pmcid: 7578001
R Core Team. R: A Language and Environment for Statistical Computing. https://www.r-project.org/ (2019).
Tremblay, A. & Ransijn, J. LMER Convenience Functions: Model Selection and Post-hoc Analysis for (G)LMER Models. https://cran.r-project.org/package=LMERConvenienceFunctions (2013).
Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. Lmertest package: Tests in linear mixed effects models. J. Stat. Softw. 82, (2017).
Lüdecke, D., Ben-Shachar, M., Patil, I., Waggoner, P. & Makowski, D. Performance: An R package for assessment, comparison and testing of statistical models. J. Open Source Softw. 6, 3139 (2021).
doi: 10.21105/joss.03139
Wickham, H. ggplot2: Elegant Graphics for Data Analysis. https://ggplot2.tidyverse.org (2016).
Graham, D. The use of visual statistical features in empirical aesthetics. in The Oxford Handbook of Empirical Aesthetics 447–474 (Oxford University Press, Oxford, 2020). https://doi.org/10.1093/oxfordhb/9780198824350.013.19 .
Graham, D., Schwarz, B., Chatterjee, A. & Leder, H. Preference for luminance histogram regularities in natural scenes. Vis. Res. 120, 11–21 (2016).
doi: 10.1016/j.visres.2015.03.018
pubmed: 25872178
Otaka, H., Shimakura, H. & Motoyoshi, I. Perception of human skin conditions and image statistics. J. Opt. Soc. Am. A 36, 1609 (2019).
doi: 10.1364/JOSAA.36.001609
Dijkstra, K. & van Dongen, N. N. N. Moderate contrast in the evaluation of paintings is liked more but remembered less than high contrast. Front. Psychol. 8, 1507 (2017).
doi: 10.3389/fpsyg.2017.01507
pubmed: 28928695
pmcid: 5591943
Olman, C., Boyaci, H., Fang, F. & Doerschner, K. V1 responses to different types of luminance histogram contrast. J. Vis. 8, 345–345 (2010).
doi: 10.1167/8.6.345
Reber, R., Schwarz, N. & Winkielman, P. Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience?. Pers. Soc. Psychol. Rev. 8, 364–382 (2004).
doi: 10.1207/s15327957pspr0804_3
pubmed: 15582859
Hurlbert, A. C. & Ling, Y. Biological components of sex differences in color preference. Curr. Biol. 17, R623–R625 (2007).
doi: 10.1016/j.cub.2007.06.022
pubmed: 17714645
Cela-Conde, C. J. et al. Sex-related similarities and differences in the neural correlates of beauty. Proc. Natl. Acad. Sci. 106, 3847–3852 (2009).
doi: 10.1073/pnas.0900304106
pubmed: 19237562
pmcid: 2656168
Merritt, P. et al. Evidence for gender differences in visual selective attention. Pers. Individ. Dif. 43, 597–609 (2007).
doi: 10.1016/j.paid.2007.01.016
Feng, Q. et al. Gender differences in visual reflexive attention shifting: Evidence from an ERP study. Brain Res. 1401, 59–65 (2011).
doi: 10.1016/j.brainres.2011.05.041
pubmed: 21663895