Ecological influences on individual differences in color preference

Schloss, Karen B.; Hawthorne-Madell, Daniel; Palmer, Stephen

doi:10.3758/s13414-015-0954-x

Cited by 22 publications

(20 citation statements)

References 42 publications

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“…Using a range of images and art types, studies have shown behavioral, physiological (Holmes and Zanker, 2012 ; Gerger et al, 2014 ), and neuronal aspects of art appraisal (Pelowski et al, 2017 ), and have helped to differentiate the processing of aspects of the artwork such as composition, lines, colors, and more top-down meaning and context-derived response (Leyssen et al, 2012 ; Muth and Carbon, 2013 ; Jakesch and Leder, 2015 ; Schloss et al, 2015 ; Lauring et al, 2016 ). Results also show compelling ties to personality and expertise (Furnham and Walker, 2001 ; Chamorro-Premuzic and Furnham, 2004 ; Giannini et al, 2013 ), and have even uncovered compelling reactions notable for art, such as its ability to deliver awe, harmony, anger, transformation, tears, and insight (Silvia, 2009 ; Vessel et al, 2012 ; Hanich et al, 2014 ; Pelowski, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

But Is It really Art? The Classification of Images as “Art”/“Not Art” and Correlation with Appraisal and Viewer Interpersonal Differences

et al. 2017

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When an individual participates in empirical studies involving the visual arts, they most often are presented with a stream of images, shown on a computer, depicting reproductions of artworks by respected artists but which are often not known to the viewer. While art can of course be shown in presentia actuale—e.g., in the museum—this laboratory paradigm has become our go-to basis for assessing interaction, and, often in conjunction with some means of rating, for assessing evaluative, emotional, cognitive, and even neurophysiological response. However, the question is rarely asked: Do participants actually believe that every image that they are viewing is indeed “Art”? Relatedly, how does this evaluation relate to aesthetic appreciation, and do the answers to these questions vary in accordance with different strategies and interpersonal differences? In this paper, we consider the spontaneous classification of digital reproductions as art or not art. Participants viewed a range of image types—Abstract, Hyperrealistic, Poorly Executed paintings, Readymade sculptures, as well as Renaissance and Baroque paintings. They classified these as “art” or “not art” using both binary and analog scales, and also assessed for liking. Almost universally, individuals did not find all items within a class to be “art,” nor did all participants agree on the arthood status for any one item. Art classification in turn showed a significant positive correlation with liking. Whether an object was classified as art moreover correlated with specific personality variables, tastes, and decision strategies. The impact of these findings is discussed for selection/assessment of participants and for better understanding the basis of findings in past and future empirical art research.

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Section: Introductionmentioning

confidence: 99%

But Is It really Art? The Classification of Images as “Art”/“Not Art” and Correlation with Appraisal and Viewer Interpersonal Differences

et al. 2017

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“…For instance, some scholars have shown that the average color preference followed a relatively smooth and curvilinear function, with a peak at blue and a trough around yellow or yellow–green. 3 – 7 Other scholars have found a cross-cultural pattern of sex difference on the color preference, eg, men preferred green and women preferred red. 4 , 8 …”

Section: Introductionmentioning

confidence: 99%

Color preferences in participants with high or low hypnotic susceptibility

Zhu

Tan

et al. 2018

NDT

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PurposeColor preferences vary among normal individuals and psychiatric patients, and this might be related to their different levels of hypnotic susceptibility. We hypothesized that individuals with higher hypnotic susceptibility prefer more arousing colors such as red.Patients and methodsOut of 440 participants, we selected 70 with higher (HIGH) and 66 with lower (LOW) hypnotic susceptibilities, and asked them to undergo the Stanford Hypnotic Susceptibility Scale: Form C (SHSSC) test, then to order their preferences of 11 colors.ResultsThe HIGH group preferred red more and scored higher on the total SHSSC. The preference order of black was negatively predicted by the SHSSC Taste hallucination but positively by Arm rigidity, and the preference of yellow was positively predicted by Posthypnotic amnesia and Taste hallucination in the HIGH group.ConclusionThe red preference and the SHSSC associations with black and yellow preferences in participants with high hypnotic susceptibility help to clarify the individual difference of color preference and provide research hints for behavioral studies in normal individuals and psychiatric patients.

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“…The study, in supports the ecological valence theory . To test their theory, k‐means clustering was performed for a cluster size from 2 to 48 (i.e., 48 participants), this was based solely on the pairwise correlations among individuals' preferences for 32 colors.…”

Section: Literature Reviewmentioning

confidence: 88%

“…The results and the subsequent analysis of the cross‐cultural studies not only depend on the scope of the study, but also on the technique used for the analysis of the results. Some techniques are based on data mining and factor analysis while others are statistical such as, canonical correlation, chi‐squared test, and more. The following Table gives a comparison of some of the more related and recent work.…”

Section: Literature Reviewmentioning

confidence: 99%

A cross‐cultural clustering study of similarities and dissimilarities based on concept words cheap, reliable, and high quality and their corresponding color associations

Abdullah

2019

Color Research & Application

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The world has undergone a techno‐cultural revolution during the last decades with the materialization of the “global village” and more; all having a profound impact on our culture. Quantitative analysis of these profound multidimensional changes needs cross‐cultural data, and scalable tools/techniques that can discover interesting nontrivial hidden relationships in large data sets. Subsequently, presenting these discovered relationships in an intuitive visual form to non‐IT domain experts. In this article, using proven data mining techniques, we perform cross‐cultural clustering of word‐color associations for 344 respondents from three cultures, that is, the United States, Pakistan, and Kingdom of Saudi Arabia. We consider the concept words cheap, reliable, and high quality along with colors liked and disliked for 10 colors. After statistical data validation one‐way cross‐cultural clustering was performed. High similarity of word‐based cluster association was discovered across the three cultures for negative and positive connotation words, and clear dissimilarity in clustering was discovered within each culture for color‐based cluster association; with possible explanations given. The universal consistent similarities in cross‐culture associations and the dissimilarities in local or intra‐culture associations could be useful for global brand decision making. In this article, we also do a technical comparison of the proposed technique with three traditional techniques used for such analysis, that is, hierarchical clustering, k‐means clustering and factor analysis; along with related comparison with principal component analysis and multidimensional scaling.

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Ecological influences on individual differences in color preference

Cited by 22 publications

References 42 publications

But Is It really Art? The Classification of Images as “Art”/“Not Art” and Correlation with Appraisal and Viewer Interpersonal Differences

But Is It really Art? The Classification of Images as “Art”/“Not Art” and Correlation with Appraisal and Viewer Interpersonal Differences

Color preferences in participants with high or low hypnotic susceptibility

A cross‐cultural clustering study of similarities and dissimilarities based on concept words cheap, reliable, and high quality and their corresponding color associations

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