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      Prediction of beauty and liking ratings for abstract and representational paintings using subjective and objective measures

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          Abstract

          Recent research on aesthetics has challenged the adage that “beauty is in the eye of the beholder” by identifying several factors that predict ratings of beauty. However, this research has emerged in a piecemeal fashion. Most studies have examined only a few predictors of beauty, and measured either subjective or objective predictors, but not both. Whether the predictors of ratings of beauty versus liking differ has not been tested, nor has whether predictors differ for major distinctions in art, such as abstract vs. representational paintings. Finally, past studies have either relied on experimenter-generated stimuli—which likely yield pallid aesthetic experiences—or on a curation of high-quality art—thereby restricting the range of predictor scores. We report a study (N = 598) that measured 4 subjective and 11 objective predictors of both beauty ratings and liking ratings, for 240 abstract and 240 representational paintings that varied widely in beauty. A crossover pattern occurred in the ratings, such that for abstract paintings liking ratings were higher than beauty ratings, whereas for representational paintings beauty ratings were higher than liking ratings. Prediction was much better for our subjective than objective predictors, and much better for our representational than abstract paintings. For abstract paintings, liking ratings were much more predictable than beauty ratings. Implications and directions for future research are discussed.

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          Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method

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            An ecological valence theory of human color preference.

            Color preference is an important aspect of visual experience, but little is known about why people in general like some colors more than others. Previous research suggested explanations based on biological adaptations [Hurlbert AC, Ling YL (2007) Curr Biol 17:623-625] and color-emotions [Ou L-C, Luo MR, Woodcock A, Wright A (2004) Color Res Appl 29:381-389]. In this article we articulate an ecological valence theory in which color preferences arise from people's average affective responses to color-associated objects. An empirical test provides strong support for this theory: People like colors strongly associated with objects they like (e.g., blues with clear skies and clean water) and dislike colors strongly associated with objects they dislike (e.g., browns with feces and rotten food). Relative to alternative theories, the ecological valence theory both fits the data better (even with fewer free parameters) and provides a more plausible, comprehensive causal explanation of color preferences.
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              Brain correlates of aesthetic judgment of beauty.

              Functional MRI was used to investigate the neural correlates of aesthetic judgments of beauty of geometrical shapes. Participants performed evaluative aesthetic judgments (beautiful or not?) and descriptive symmetry judgments (symmetric or not?) on the same stimulus material. Symmetry was employed because aesthetic judgments are known to be often guided by criteria of symmetry. Novel, abstract graphic patterns were presented to minimize influences of attitudes or memory-related processes and to test effects of stimulus symmetry and complexity. Behavioral results confirmed the influence of stimulus symmetry and complexity on aesthetic judgments. Direct contrasts showed specific activations for aesthetic judgments in the frontomedian cortex (BA 9/10), bilateral prefrontal BA 45/47, and posterior cingulate, left temporal pole, and the temporoparietal junction. In contrast, symmetry judgments elicited specific activations in parietal and premotor areas subserving spatial processing. Interestingly, beautiful judgments enhanced BOLD signals not only in the frontomedian cortex, but also in the left intraparietal sulcus of the symmetry network. Moreover, stimulus complexity caused differential effects for each of the two judgment types. Findings indicate aesthetic judgments of beauty to rely on a network partially overlapping with that underlying evaluative judgments on social and moral cues and substantiate the significance of symmetry and complexity for our judgment of beauty.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Investigation
                Role: Data curationRole: Investigation
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 July 2018
                2018
                : 13
                : 7
                : e0200431
                Affiliations
                [001]Department of Psychology, University of Calgary, Calgary, Alberta, Canada
                Coventry University, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤a]

                Current address: Department of Psychology, Washington State University, Pullman, Washington, United States of America

                [¤b]

                Current address: Department of Psychology, Carleton University, Ottawa, Ontario, Canada

                [¤c]

                Current address: Psychology, Flinders University, Adelaide, South Australia, Australia

                Author information
                http://orcid.org/0000-0001-7837-4879
                Article
                PONE-D-18-06703
                10.1371/journal.pone.0200431
                6034882
                29979779
                8b07ac26-9d26-4775-b98e-ecd6906fbf24
                © 2018 Sidhu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 March 2018
                : 26 June 2018
                Page count
                Figures: 1, Tables: 8, Pages: 15
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: RGPIN 238599-2015
                Award Recipient :
                The Natural Sciences and Engineering Research Council of Canada supported this research through Discovery Grant RGPIN 238599-2015 to Glen E. Bodner. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Attitudes (Psychology)
                Social Sciences
                Psychology
                Attitudes (Psychology)
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Physical Sciences
                Physics
                Thermodynamics
                Entropy
                Physical Sciences
                Physics
                Electromagnetic Radiation
                Light
                Visible Light
                Luminance
                Physical Sciences
                Mathematics
                Geometry
                Aspect Ratio
                Physical Sciences
                Mathematics
                Geometry
                Symmetry
                Research and Analysis Methods
                Imaging Techniques
                Photography
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Forecasting
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Forecasting
                Custom metadata
                All data files are available from the following Open Science Framework database: https://osf.io/2sy4f.

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                Uncategorized

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