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Journal articles on the topic 'Color categorization'

Author: Grafiati

Published: 14 March 2023

Last updated: 22 June 2025

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1

Nankevich, Alyona Anvarovna. "Color categorization as a cultural schema." Человек и культура, no. 6 (June 2024): 61–75. http://dx.doi.org/10.25136/2409-8744.2024.6.71873.

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The relevance and novelty of this study is determined by its purpose, which is to analyze color categorization as a cultural schema. Color categorization is understood as a way of dividing the color continuum into discrete areas (color categories), which society then endows with cultural connotations and includes in the general system of cultural knowledge. According the mentioned purpose, the concept of “cultural schema” was considered, the structure of color categorization as a cultural schema was designated and an analysis of its consistent inheritance and genesis in culture was presented. To reveal the main stages of the color categorization genesis and its typological characteristics, the ternary model of culture by A. V. Kostina and A. Ya. Flier was used. Based on the identified specificity of the interaction of three functional types of culture (consumer, traditional and creative), two types of color categorization are distinguished: natural and artificial. Natural color categorization is the historically first way of classifying color, which develops as nature is imitated (natural classes of colors) and dyes available to people are mastered. An important result of the accumulation and production of new knowledge in the field of color is the formation of a taxonomy of color terms in natural language, as well as the establishment of color categorization in everyday human consciousness in the form of cultural norms and customs, for example, the division of colors into “male” and “female” or into “festive” and “everyday” in religious clothing. As cultural practices associated with color develop, artificial color categorization arises against the background of natural color categorization. Its main distinguishing feature is a completely controlled process of obtaining color and codification of color relations in the form of atlases and color systems.

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2

Siuda-Krzywicka, Katarzyna, Christoph Witzel, Emma Chabani, et al. "Color Categorization Independent of Color Naming." Cell Reports 28, no. 10 (2019): 2471–79. http://dx.doi.org/10.1016/j.celrep.2019.08.003.

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3

Dedrick, Don. "Color, Color Terms, Categorization, Cognition, Culture: An Afterword." Journal of Cognition and Culture 5, no. 3-4 (2005): 487–95. http://dx.doi.org/10.1163/156853705774648545.

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AbstractRecent work on color naming challenges the idea that there are shared perceptually salient colors or color categories that are "hardwired" into homo sapiens and provide the basis for one of the most famous cross-cultural claims of all time, Brent Berlin and Paul Kay's claim that there is a small number of "basic" color terms (eleven), and that some subset of these terms is present in every human language (Berlin & Kay, 1969; see Kay and Maffi, 1999; Kay and Reiger, 2003; and Kay 2005 for updates).

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4

Ross, Peter W. "Trichromacy and the neural basis of color discrimination." Behavioral and Brain Sciences 20, no. 2 (1997): 206–7. http://dx.doi.org/10.1017/s0140525x97451427.

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I take issue with Saunders & van Brakel's claim that neural processes play no interesting role in determining color categorizations. I distinguish an aspect of color categorization, namely, color discrimination, from other aspects. The law of trichromacy describes conditions under which physical properties cannot be discriminated in terms of color. Trichromacy is explained by properties of neural processes.

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Pineda, Lorena Olmos, and Jorge Gil Tejeda. "LINGUISTIC CATEGORIZATION OF COLOR IN STATIC SYSTEMS AND SUBLTE DIFFERENCES DETECTED BY GENDER." International Journal of Professional Business Review 9, no. 12 (2024): e05179. https://doi.org/10.26668/businessreview/2024.v9i12.5179.

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Objective: The objective of this study was to evaluate how individuals in a specific culture perform the linguistic categorization of the dominant color in an image and to identify potential differences in such categorization. Theoretical Framework: Language is a fundamental component not only of culture but also of the mechanisms of the human brain, influencing both information processing and perception of the world. In this sense, linguistic categorization can provide insight into the functioning of the human mind, the perceptual experience of certain phenomena, and how language and visual perception interact across different cultures. Method: An empirical study was conducted in which participants were exposed to images with a dominant color. The linguistic categorization of this color was evaluated based on the participants' gender. Results and Discussion: The results showed variation in the linguistic categorization of the dominant color by gender. Women exhibited a broader range of categorization for different colors, which was also influenced by the intrinsic qualities of the object as well as by the visual processing derived from human structure Implications of the Research: The findings could influence how colors are used in products and advertising in a culturally sensitive manner, where color perception is critical based on gender differences. Originality/Value: This study examines how the intrinsic qualities of objects and human visual structure can alter perception and categorization, offering a new perspective on the relationship between language, culture, and the recognition of static systems.

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BONNARDEL, VALÉRIE. "Color naming and categorization in inherited color vision deficiencies." Visual Neuroscience 23, no. 3-4 (2006): 637–43. http://dx.doi.org/10.1017/s0952523806233558.

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Dichromatic subjects can name colors accurately, even though they cannot discriminate among red-green hues (Jameson & Hurvich, 1978). This result is attributed to a normative language system that dichromatic observers developed by learning subtle visual cues to compensate for their impoverished color system. The present study used multidimensional scaling techniques to compare color categorization spaces of color-vision deficient (CVD) subjects to those of normal trichromat (NT) subjects, and consensus analysis estimated the normative effect of language on categorization. Subjects sorted 140 Munsell color samples in three different ways: a free sorting task (unlimited number of categories), a constrained sorting task (number of categories limited to eight), and a constrained naming task (limited to eight basic color terms). CVD color categories were comparable to those of NT subjects. For both CVD and NT subjects, a common color categorization space derived from the three tasks was well described by a three-dimensional model, with the first two dimensions corresponding to reddish-greenish and yellowish-bluish axes. However, the third axis, which was associated with an achromatic dimension in NTs, was not identified in the CVD model. Individual differences multidimensional scaling failed to reveal group differences in the sorting tasks. In contrast, the personal color naming spaces of CVD subjects exhibited a relative compression of the yellowish-bluish dimension that is inconsistent with the typical deutan-type color spaces derived from more direct measures of perceptual color judgments. As expected, the highest consensus among CVDs (77%) and NTs (82%) occurred in the naming task. The categorization behaviors studied in this experiment seemed to rely more on learning factors, and may reveal little about CVD perceptual representation of colors.

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7

van den Broek, E. L., Th E. Schouten, and P. M. F. Kisters. "Modeling human color categorization." Pattern Recognition Letters 29, no. 8 (2008): 1136–44. http://dx.doi.org/10.1016/j.patrec.2007.09.006.

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8

Chang, Audrey LY, Hannah M. Selwyn, Daniel Garside, Joshua Fuller-Deets, Shriya M. Awasthi, and Bevil R. Conway. "Color categorization in macaques." Journal of Vision 22, no. 14 (2022): 3979. http://dx.doi.org/10.1167/jov.22.14.3979.

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9

Maule, John, and Anna Franklin. "Color categorization in infants." Current Opinion in Behavioral Sciences 30 (December 2019): 163–68. http://dx.doi.org/10.1016/j.cobeha.2019.08.005.

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10

Correia, José Pedro, and Radek Ocelák. "Towards More Realistic Modeling of Linguistic Color Categorization." Open Philosophy 2, no. 1 (2019): 160–89. http://dx.doi.org/10.1515/opphil-2019-0013.

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AbstractThe ways in which languages have come to divide the visible spectrum with their color terminology, in both their variety and the apparent universal tendencies, are still largely unexplained. Building on recent work in modeling color perception and categorization, as well as the theory of signaling games, we incrementally construct a color categorization model which combines perceptual characteristics of individual agents, game-theoretic signaling interaction of these agents, and the probability of observing particular colors as an environmental constraint. We also propose a method of transparent evaluation against the data gathered in the World Color Survey. The results show that the model’s predictive power is comparable to the current state of the art. Additionally, we argue that the model we suggest is superior in terms of motivation of the principles involved, and that its explanatory relevance with respect to color categorization in languages is therefore higher. Our results suggest that the universal tendencies of color categorization cannot be explained solely in terms of the shape of the color space induced by our perceptual apparatus. We believe that only by taking the heterogeneity of the phenomenon seriously can we acquire a deeper understanding of why color categorization takes the forms we observe across languages.

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Shinomori, K., R. Yokota, and S. Nakauchi. "Color naming and color categorization by dichromats." Journal of Vision 7, no. 15 (2010): 106. http://dx.doi.org/10.1167/7.15.106.

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12

Goldstone, Robert L. "Effects of Categorization on Color Perception." Psychological Science 6, no. 5 (1995): 298–304. http://dx.doi.org/10.1111/j.1467-9280.1995.tb00514.x.

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Subjects were shown simple objects and were asked to reproduce the colors of the objects Even though the objects remained on the screen while subjects reproduced the colors and the objects' shapes were irrelevant to the subjects' task, subjects' color perceptions were influenced by the shape category of an object For example, objects that belonged to categories with redder objects were judged to be more red than identically colored objects belonging to another category Further experiments showed that the object categories that subjects use, rather than being fixed, depend on the objects to which subjects are exposed

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Skelton, Alice E., Gemma Catchpole, Joshua T. Abbott, Jenny M. Bosten, and Anna Franklin. "Biological origins of color categorization." Proceedings of the National Academy of Sciences 114, no. 21 (2017): 5545–50. http://dx.doi.org/10.1073/pnas.1612881114.

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The biological basis of the commonality in color lexicons across languages has been hotly debated for decades. Prior evidence that infants categorize color could provide support for the hypothesis that color categorization systems are not purely constructed by communication and culture. Here, we investigate the relationship between infants’ categorization of color and the commonality across color lexicons, and the potential biological origin of infant color categories. We systematically mapped infants’ categorical recognition memory for hue onto a stimulus array used previously to document the color lexicons of 110 nonindustrialized languages. Following familiarization to a given hue, infants’ response to a novel hue indicated that their recognition memory parses the hue continuum into red, yellow, green, blue, and purple categories. Infants’ categorical distinctions aligned with common distinctions in color lexicons and are organized around hues that are commonly central to lexical categories across languages. The boundaries between infants’ categorical distinctions also aligned, relative to the adaptation point, with the cardinal axes that describe the early stages of color representation in retinogeniculate pathways, indicating that infant color categorization may be partly organized by biological mechanisms of color vision. The findings suggest that color categorization in language and thought is partially biologically constrained and have implications for broader debate on how biology, culture, and communication interact in human cognition.

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Huette, Stephanie, and Bob McMurray. "Continuous dynamics of color categorization." Psychonomic Bulletin & Review 17, no. 3 (2010): 348–54. http://dx.doi.org/10.3758/pbr.17.3.348.

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Milojevic, Z., R. Ennis, and K. Gegenfurtner. "Color categorization of natural objects." Journal of Vision 14, no. 10 (2014): 464. http://dx.doi.org/10.1167/14.10.464.

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Chu, Wei-Ta, Chih-Hao Chen, and Han-Nung Hsu. "Color CENTRIST: Embedding color information in scene categorization." Journal of Visual Communication and Image Representation 25, no. 5 (2014): 840–54. http://dx.doi.org/10.1016/j.jvcir.2014.01.013.

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Jameson, Kimberly. "Culture and Cognition: What is Universal about the Representation of Color Experience?" Journal of Cognition and Culture 5, no. 3-4 (2005): 293–348. http://dx.doi.org/10.1163/156853705774648527.

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AbstractExisting research in color naming and categorization primarily reflects two opposing views: A Cultural Relativist view that posits color perception is greatly shaped by culturally specific language associations and perceptual learning, and a Universalist view that emphasizes panhuman shared color processing as the basis for color naming similarities within and across cultures. Recent empirical evidence finds color processing differs both within and across cultures. This divergent color processing raises new questions about the sources of previously observed cultural coherence and cross-cultural universality. The present article evaluates the relevance of individual variation on the mainstream model of color naming. It also presents an alternate view that specifies how color naming and categorization is shaped by both panhuman cognitive universals and socio-cultural evolutionary processes. This alternative view, expressed, in part, using an Interpoint Distance Model of color categorization, is compatible with new empirical results showing divergent color processing within and across cultures. It suggests that universalities in color naming and categorization may naturally arise across cultures because color language and color categories primarily reflect culturally modal linguistic mappings, and categories are shaped by universal cognitive constructs and culturally salient features of color. Thus, a shared cultural representation of color based on widely shared cognitive dimensions may be the proper foundation for universalities of color naming and categorization. Across cultures this form of representation may result from convergent responses to similar pressures on color lexicon evolution.

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18

Malinowska, Monika, and Maciej Haman. "Subfocal Color Categorization and Naming: The Role of Exposure to Language and Professional Experience." Polish Psychological Bulletin 40, no. 4 (2009): 170–75. http://dx.doi.org/10.2478/s10059-009-0012-4.

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Subfocal Color Categorization and Naming: The Role of Exposure to Language and Professional ExperienceThe current state of the debate on the linguistic factors in color perception and categorization is reviewed. Developmental and learning studies were hitherto almost ignored in this debate. A simple experiment is reported in which 20 Academy of Fine Arts, Faculty of Painting students' performance in color discrimination and naming tasks was compared to the performance of 20 Technical University students. Subfocal colors (different hues of red and blue) were used. While there was no difference in overall discrimination ability, AFA students had a much richer and specialized color vocabulary. Both groups also applied different strategies of discrimination and naming. However, naming system in neither group was coherent. This suggests that naming played primarily the role of markers for control processes rather than names for categories. It is concluded that up-to-date debate is too simplified and a complex model of interrelations between perceptual categorization and naming framed in the developmental context is needed rather than the search for a simple answer "language", "environment", or "perceptual universals".

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Nankevich, Alyona Anvarovna. "Ecological motivation for cultural and philosophical understanding of color categorization." Философия и культура, no. 8 (August 2024): 182–90. http://dx.doi.org/10.7256/2454-0757.2024.8.71226.

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The article considers conceptual ideas of color categorization as a cultural practice. Color categorization is the process of dividing the color continuum into discrete color groups (color categories) and fixing them in the human mind through the cutural sign system. In modern color studies, this process is viewed from the ecocentric perspective. According to ecocentrism, humans and other living being are equal parts of nature, and they should coexist in harmony and peace. In this regard, it becomes important to search for ecological motivation not only in the human body, but also in human activity, especially in cultural practices. Therefore, the purpose of this study was to analyze conceptual ideas of color categorization from the ecocentric perspective. The systematization of the indicated conceptual ideas allowed us to identify three key directions based on ecological motivation: (1) nature-centered, (2) body-oriented and (3) socio-cultural. The mentioned directions are formed on the basis of such concepts as "environment", "corporeality" and "sociality", respectively. Acting as the main factors that determine the content and structure of color categories, environment, human body and culture form the main vector of color categorization. The environment comprises a set of objects with chromatic characteristics. They are the material for color categorization, and their configuration sets examples of color combinations. The physiological and biological features of the human body determine the process of color perception and its cognitive processing resulting into color categories. As the color categories become a part of human activity, their cultural semantics is created in the form of cultural meanings and connotations.

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Fagot, Joël, Julie Goldstein, Jules Davidoff, and Alan Pickering. "Cross-species differences in color categorization." Psychonomic Bulletin & Review 13, no. 2 (2006): 275–80. http://dx.doi.org/10.3758/bf03193843.

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HANARI, Takashi, and Shin'ya TAKAHASHI. "Categorization of Color Preference style(2)." Proceedings of the Annual Convention of the Japanese Psychological Association 75 (2011): 1AM125. http://dx.doi.org/10.4992/pacjpa.75.0_1am125.

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22

STEINGRIMSSON, RAGNAR. "EVOLUTIONARY GAME THEORETICAL MODEL OF THE EVOLUTION OF THE CONCEPT OF HUE, A HUE STRUCTURE, AND COLOR CATEGORIZATION IN NOVICE AND STABLE LEARNERS." Advances in Complex Systems 15, no. 03n04 (2012): 1150018. http://dx.doi.org/10.1142/s0219525911500184.

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Evolutionary game theory is used to form a finite partition of a continuous hue circle in which perceptually similar hues are each represented by an icon chip and the circle by a finite but game dynamically determined number of icon chips. On the basis of such icon chip structures, a color categorization for both an individual learner and a population of learners is then evolved. These results remove limitations of some particular previous color categorization simulation work which assumed a fixed number of color stimuli and a maximal number of predefined color categories. These simulations are extended to demonstrate that learners need neither to share the same icon chip structures, nor do these structures have to be fully developed for a population of learners to produce a stable color categorization system. Additionally, when a naïve learner is introduced into a population with a stable color categorization, the game dynamics result in the learner's adopting the existing categorization. All results are shown to hold while the underlying icon chip structures evolve continuously in response to novel stimuli. The usefulness of the approach as well as some of the potential implications of the results for human learning of color categories are discussed.

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Garaus, Marion, and Georgios Halkias. "One color fits all: product category color norms and (a)typical package colors." Review of Managerial Science 14, no. 5 (2019): 1077–99. http://dx.doi.org/10.1007/s11846-018-0325-9.

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Abstract Despite the growing amount of research on different aspects of product package design, there is lack of empirical evidence with regard to how package color perceptions may influence consumer preferences. Based on categorization theory, the present paper explores responses to package colors that conform or do not conform to product category color norms. Results of two experiments show that atypical package colors implicate negative consequences to the brand. Findings indicate that perceived package color atypicality increases consumers’ skepticism and, contrary to expectations, decreases interest. These affective reactions negatively influence consumers’ product attitude which subsequently translates into lower purchase intention. The results provide important insights for theory and practice.

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jameson, kimberly a. "sharing perceptually grounded categories in uniform and nonuniform populations." Behavioral and Brain Sciences 28, no. 4 (2005): 501–2. http://dx.doi.org/10.1017/s0140525x05350084.

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steels & belpaeme's (s&b) procedure does not model much of the important variation that occurs across human color categorizers. human perceptual variation and its corollary consequences impact real-world color categorization. because of this, investigators with the primary aim of understanding color categorization and naming across cultures should exercise some caution extending these findings to explain how different human societies lexicalize color appearance space.

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NARENS, LOUIS, KIMBERLY A. JAMESON, NATALIA L. KOMAROVA, and SEAN TAUBER. "LANGUAGE, CATEGORIZATION, AND CONVENTION." Advances in Complex Systems 15, no. 03n04 (2012): 1150022. http://dx.doi.org/10.1142/s0219525911500226.

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Linguistic meaning is a convention. This article investigates how such conventions can arise for color categories in populations of simulated "agents". The method uses concepts from evolutionary game theory: A language game where agents assign names to color patches and is played repeatedly by members of a population. The evolutionary dynamics employed make minimal assumptions about agents' perceptions and learning processes. Through various simulations it is shown that under different kinds of reasonable conditions involving outcomes of individual games, the evolutionary dynamics push populations to stationary equilibria, which can be interpreted as achieving shared population meaning systems. Optimal population agreement for meaning is characterized through a mathematical formula, and the simulations presented reveal that for a wide variety of situations, optimality is achieved.

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Petrova, Nataliia A. "The classifier COLOR a dominant one in the categorization of mushrooms in the languages of the peoples of the Baikal region." Sibirskiy filologicheskiy zhurnal, no. 4 (2024): 229–41. http://dx.doi.org/10.17223/18137083/89/17.

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This study focuses on the categorization of mushrooms in Russian, Buryat, Tatar, Mongolian, Yakut, and Evenk languages. According to the author, the connection between categorization and nomination is demonstrated by how language units represent our worldview. Thus, the local languages exhibit varied reflections of the mushrooms found in the Baikal region. The prevalence of mushroom names in the Russian language is a testament to the significance of mushrooms in Russian culture. Mushrooms are not considered a significant part of the Buryat, Tatar, Mongolian, Yakut, and Even cultures, resulting in a limited number of mush-room names. The author discusses the cognitive classification features, or classifiers, used to name mushrooms, such as their color, shape, surface type, connection with animals, practical significance, and others. Extensive evidence supports the notion that the classifier COLOR is of primary importance in categorization. The colors relevant to mushroom nominations serve as confirmation for the theory of B. Berlin and P. Kay regarding the fundamental names of colors. Since the color attribute encompasses an evaluation of reality, it is classified as conceptual. The opposition between “white mushroom/black mushroom” shows the former as the optimal choice, edible and highly flavorful, and the latter as the least desirable choice, either inedible or less tasty. This differentiation is apparent in the mycological terminology in all the languages studied. The color choice for a mushroom name reflects its cultural symbolism. As an illustration, Turkic peoples utilize colors associated with solar symbolism to indicate the most valuable edible mushrooms.

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Kay, Paul, and Brent Berlin. "Science ≠ imperialism: There are nontrivial constraints on color naming." Behavioral and Brain Sciences 20, no. 2 (1997): 196–201. http://dx.doi.org/10.1017/s0140525x97001420.

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Saunders & van Brakel's claim that Berlin and Kay (1969) assumed a language/vision correlation in the area of color categorization and disguised this assumption as a finding is shown to be false. The methodology of the World Color Survey, now nearing completion, is discussed and the possibility of an additional language/vision correlation in color categorization is suggested.

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Kay, Paul, and Brent Berlin. "Science ≠ imperialism: There are nontrivial constraints on color naming." Behavioral and Brain Sciences 20, no. 2 (1997): 196–201. http://dx.doi.org/10.1017/s0140525x97391420.

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Saunders & van Brakel's claim that Berlin and Kay (1969) assumed a language/vision correlation in the area of color categorization and disguised this assumption as a finding is shown to be false. The methodology of the World Color Survey, now nearing completion, is discussed and the possibility of an additional language/vision correlation in color categorization is suggested.

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Lücking, Andy, and Alexander Mehler. "A Model of Complexity Levels of Meaning Constitution in Simulation Models of Language Evolution." International Journal of Signs and Semiotic Systems 1, no. 1 (2011): 18–38. http://dx.doi.org/10.4018/ijsss.2011010102.

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Currently, some simulative accounts exist within dynamic or evolutionary frameworks that are concerned with the development of linguistic categories within a population of language users. Although these studies mostly emphasize that their models are abstract, the paradigm categorization domain is preferably that of colors. In this paper, the authors argue that color adjectives are special predicates in both linguistic and metaphysical terms: semantically, they are intersective predicates, metaphysically, color properties can be empirically reduced onto purely physical properties. The restriction of categorization simulations to the color paradigm systematically leads to ignoring two ubiquitous features of natural language predicates, namely relativity and context-dependency. Therefore, the models for simulation models of linguistic categories are not able to capture the formation of categories like perspective-dependent predicates ‘left’ and ‘right’, subsective predicates like ‘small’ and ‘big’, or predicates that make reference to abstract objects like ‘I prefer this kind of situation’. The authors develop a three-dimensional grid of ascending complexity that is partitioned according to the semiotic triangle. They also develop a conceptual model in the form of a decision grid by means of which the complexity level of simulation models of linguistic categorization can be assessed in linguistic terms.

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Borzunov, G. I., A. V. Firsov, A. N. Novikov, and V. V. Ivanov. "Categorization of Images Based on Color Contrasts." Proceedings of Higher Education Institutions. Textile Industry Technology, no. 4 (2021): 164–67. http://dx.doi.org/10.47367/0021-3497_2021_4_164.

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Favorskaya, Margarita Nikolaevna, and Alexander Viktorovich Proskurin. "Scene Categorization Based on Extended Color Descriptors." SPIIRAS Proceedings 3, no. 40 (2015): 203. http://dx.doi.org/10.15622/sp.40.13.

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32

Li, Doujie, Zhongyan Fan, and Wallace K. S. Tang. "Domain learning naming game for color categorization." PLOS ONE 12, no. 11 (2017): e0188164. http://dx.doi.org/10.1371/journal.pone.0188164.

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Egré, Paul, Vincent de Gardelle, and David Ripley. "Vagueness and Order Effects in Color Categorization." Journal of Logic, Language and Information 22, no. 4 (2013): 391–420. http://dx.doi.org/10.1007/s10849-013-9183-7.

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Ocelák, Radek. "“Categorical Perception” and Linguistic Categorization of Color." Review of Philosophy and Psychology 7, no. 1 (2015): 55–70. http://dx.doi.org/10.1007/s13164-015-0237-4.

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35

Okajima, K., A. R. Robertson, and G. H. Fielder. "A quantitative network model for color categorization." Color Research & Application 27, no. 4 (2002): 225–32. http://dx.doi.org/10.1002/col.10060.

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Ubaydullayeva, Ranokhan A. "THE FORMATION OF COLOR ASSOCIATIONS THROUGH STABLE UNITS FORMED WITH THE PARTICIPATION OF WORDS EXPRESSING COLOR." American Journal of Interdisciplinary Innovations and Research 06, no. 05 (2024): 28–30. http://dx.doi.org/10.37547/tajiir/volume06issue05-04.

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This research investigates the formation of color associations through stable units formed with the participation of words expressing color. Language plays a significant role in shaping our perception of colors, and the formation of stable units—linguistic constructs involving color words—provides a framework for understanding how these associations are established and maintained. Through a combination of linguistic analysis and experimental methods, this study explores how stable units influence color perception, categorization, and conceptualization. By uncovering the cognitive mechanisms underlying the formation of color associations through stable linguistic units, this research contributes to our understanding of the intricate interplay between language and cognition.

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Matthen, Mohan. "Color nominalism, pluralistic realism, and color science." Behavioral and Brain Sciences 26, no. 1 (2003): 39–40. http://dx.doi.org/10.1017/s0140525x03410017.

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AbstractByrne & Hilbert are right that it might be an objective fact that a particular tomato is unique red, but wrong that it cannot simultaneously be yellowish-red (not only objectively, but from somebody else's point of view). Sensory categorization varies among organisms, slightly among conspecifics, and sharply across taxa. There is no question of truth or falsity concerning choice of categories, only of utility and disutility. The appropriate framework for color categories is Nominalism and Pluralistic Realism.

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Griber, Yu A. "Color Categorization and its Electroencephalography Correlates: A Review of Neuro-Linguistic Oddball Paradigm Research." Nauchnyi dialog 12, no. 5 (2023): 9–38. http://dx.doi.org/10.24224/2227-1295-2023-12-5-9-38.

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This paper presents a review of neuro-linguistic studies on color categorization, developed using the oddball paradigm. The selection of research sources was conducted through Russian National Corpus, Google Scholar, Scopus, Web of Science. This study undertook a comprehensive analysis of all relevant articles published within the last 15 years (with the earliest dating back to 2007). Through this analysis, traditional methodologies were identified and five thematic groups of research were established, all of which employed the oddball paradigm. The focus of neuro-linguistic research has been shown to be directed towards (1) studying the neurophysiological mechanisms of color categorization and their temporal parameters; (2) investigating the mechanisms of color categorization in preverbal infants; (3) examining the effect of lateralization; (4) analyzing inter- and intra-linguistic differences in color categorization; and (5) determining the neurophysiological correlates of artificial color categories. Paying particular attention to experimental design, principles of stimulus chromatic characteristics selection, and the results obtained by the authors will enable specialists in the field of theoretical, applied, and comparative linguistics to use the review presented in this article as a basis for planning and developing new experimental research in this area.

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Jraissati, Yasmina, and Igor Douven. "Does optimal partitioning of color space account for universal color categorization?" PLOS ONE 12, no. 6 (2017): e0178083. http://dx.doi.org/10.1371/journal.pone.0178083.

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Komarova, Natalia L., and Kimberly A. Jameson. "Population heterogeneity and color stimulus heterogeneity in agent-based color categorization." Journal of Theoretical Biology 253, no. 4 (2008): 680–700. http://dx.doi.org/10.1016/j.jtbi.2008.03.030.

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Shamoi, Pakizar, Atsushi Inoue, and Hiroharu Kawanaka. "FHSI: Toward More Human-Consistent Color Representation." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 3 (2016): 393–401. http://dx.doi.org/10.20965/jaciii.2016.p0393.

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In this paper, we propose a novel approach toward the development of a perceptual color space, FHSI, which stands for “Fuzzy HSI," because it is based on the fuzzification of the well-known HSI color space. FHSI represents a set of fuzzy colors obtained by partitioning the gamut of feasible colors in the HSI model corresponding to standardized linguistic tags. In fact, color categorization was performed on the basis of personal judgments of humans collected by way of an online survey. This approach helps to significantly enhance color matching and similarity searches by producing more intuitive and human-consistent output for users. The introduced method has potential for use in various color image applications involving query processing, for example, in the coordination of online apparel shopping.

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POKORNY, JOEL, MARGARET LUTZE, DINGCAI CAO, and ANDREW J. ZELE. "The color of night: Surface color categorization by color defective observers under dim illuminations." Visual Neuroscience 25, no. 3 (2008): 475–80. http://dx.doi.org/10.1017/s0952523808080486.

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People with normal trichromatic color vision experience variegated hue percepts under dim illuminations where only rod photoreceptors mediate vision. Here, hue perceptions were determined for persons with congenital color vision deficiencies over a wide range of light levels, including very low light levels where rods alone mediate vision. Deuteranomalous trichromats, deuteranopes and protanopes served as observers. The appearances of 24 paper color samples from the OSA Uniform Color Scales were gauged under successively dimmer illuminations from 10 to 0.0003 Lux (1.0 to −3.5 log Lux). Triads of samples were chosen representing each of eight basic color categories; “red,” “pink,” “orange,” “yellow,” “green,” “blue,” “purple,” and “gray.” Samples within each triad varied in lightness. Observers sorted samples into groups that they could categorize with specific color names. Above −0.5 log Lux, the dichromatic and anomalous trichromatic observers sorted the samples into the original representative color groups, with some exceptions. At light levels where rods alone mediate vision, the color names assigned by the deuteranomalous trichromats were similar to the color names used by color normals; higher scotopic reflectance samples were classified as blue-green-grey and lower reflectance samples as red-orange. Color names reported by the dichromats at the dimmest light levels had extensive overlap in their sample scotopic lightness distributions. Dichromats did not assign scotopic color names based on the sample scotopic lightness, as did deuteranomalous trichromats and colour-normals. We reasoned that the reduction in color gamut that a dichromat experiences at photopic light levels leads to a limited association of rod color perception with objects differing in scotopic reflectance.

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Alvarado, Nancy, and Kimberly Jameson. "The Use of Modifying Terms in the Naming and Categorization of Color Appearances in Vietnamese and English." Journal of Cognition and Culture 2, no. 1 (2002): 53–80. http://dx.doi.org/10.1163/156853702753693307.

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AbstractCross-cultural studies of color naming show that basic terms are universally the most frequently used to name colors. However, such basic color terms are always used in the context of larger linguistic systems when specific properties of color experience are described. To investigate naturalistic naming behaviors, we examined the use of modifiers in English and Vietnamese color naming using an unconstrained naming task (Jameson & Alvarado, in press). Monolingual and bilingual subjects named a representative set of 110 color stimuli sampled from a commonly used color-order stimulus space. Results revealed greater reliance upon polylexemic naming among monolingual Vietnamese speakers and greater use of monolexemic basic hue terms and secondary terms (object glosses) among monolingual English speakers. Systematic differences across these language groups imply that widely used monolexemic naming methods may differentially impact color-naming findings in cross-cultural investigations of color cognition.

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Gibson, Edward, Richard Futrell, Julian Jara-Ettinger, et al. "Color naming across languages reflects color use." Proceedings of the National Academy of Sciences 114, no. 40 (2017): 10785–90. http://dx.doi.org/10.1073/pnas.1619666114.

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What determines how languages categorize colors? We analyzed results of the World Color Survey (WCS) of 110 languages to show that despite gross differences across languages, communication of chromatic chips is always better for warm colors (yellows/reds) than cool colors (blues/greens). We present an analysis of color statistics in a large databank of natural images curated by human observers for salient objects and show that objects tend to have warm rather than cool colors. These results suggest that the cross-linguistic similarity in color-naming efficiency reflects colors of universal usefulness and provide an account of a principle (color use) that governs how color categories come about. We show that potential methodological issues with the WCS do not corrupt information-theoretic analyses, by collecting original data using two extreme versions of the color-naming task, in three groups: the Tsimane', a remote Amazonian hunter-gatherer isolate; Bolivian-Spanish speakers; and English speakers. These data also enabled us to test another prediction of the color-usefulness hypothesis: that differences in color categorization between languages are caused by differences in overall usefulness of color to a culture. In support, we found that color naming among Tsimane' had relatively low communicative efficiency, and the Tsimane' were less likely to use color terms when describing familiar objects. Color-naming among Tsimane' was boosted when naming artificially colored objects compared with natural objects, suggesting that industrialization promotes color usefulness.

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MacLaury, Robert E. "Domain-specificity in folk biology and color categorization: Modularity versus global process." Behavioral and Brain Sciences 21, no. 4 (1998): 582–83. http://dx.doi.org/10.1017/s0140525x98361270.

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Universal ranks in folk biological taxonomy probably apply to taxonomies of cultural artifacts. We cannot call folk biological cognition domain-specific and modular. Color categorization may manifest unique organization, which would result from known neurology and the nature of color as an attribute. But folk biology does not adduce equivalent evidence. A global process of increasing differentiation similarly affects folk taxonomy, color categorization, and other practices germane to Atran's anthropology of science; this is beclouded by claims of specificity and modularity.

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Jraissati, Yasmina. "On Color Categorization: Why Do We Name Seven Colors in the Rainbow?" Philosophy Compass 9, no. 6 (2014): 382–91. http://dx.doi.org/10.1111/phc3.12131.

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Chen, Yuyilan, Yuqian Dai, Li Li, Chenqu Ma, and Xiaogang Liu. "A Graph-Based Representation Method for Fashion Color." Applied Sciences 12, no. 13 (2022): 6742. http://dx.doi.org/10.3390/app12136742.

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Fashion color research takes the color information of fashion apparel as the major focus for further studies, such as style categorization or trend prediction. However, the colors in apparel are treated as isolated elements from each other, disregarding the fact that not only the attributes of each color itself but also the collocation relationship of the colors in apparel are important color factors. To provide a more comprehensive abstraction of the information from the fashion colors as well as emulating the human cognition of fashion colors, in this paper, we are the first to propose a knowledge graph-based representation method that captures not only the individual colors but also abstracts the spatial relation of all the colors that appear in a single piece of fashion apparel. This method provides the fundamental definition of the abstraction of the relation of colors, a detailed method to construct the color graph, as well as the practical matrix-based management and the visualization of the constructed graphs. The case studies for color data extraction and extended usage demonstrate the effectiveness of our method with comprehensive color data representation and effective information extraction.

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Lindsey, Delwin T. "Lexical and non-lexical color categorization and the universality of color understanding." Journal of Vision 19, no. 15 (2019): 3. http://dx.doi.org/10.1167/19.15.3.

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Dufort, P. A., and C. J. Lumsden. "Color categorization and color constancy in a neural network model of V4." Biological Cybernetics 65, no. 4 (1991): 293–303. http://dx.doi.org/10.1007/bf00206226.

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Brown, Angela M., and Delwin T. Lindsey. "Categorization and naming of surface texture and color." Journal of Vision 24, no. 10 (2024): 891. http://dx.doi.org/10.1167/jov.24.10.891.

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