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Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images

We recently found that luminance edges are more evenly distributed across orientations in large subsets of traditional artworks, i.e., artworks are characterized by a relatively high entropy of edge orientations, when compared to several categories of other (non-art) images. In the present study, we...

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Autores principales: Grebenkina, Maria, Brachmann, Anselm, Bertamini, Marco, Kaduhm, Ali, Redies, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172329/
https://www.ncbi.nlm.nih.gov/pubmed/30323736
http://dx.doi.org/10.3389/fnins.2018.00678
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author Grebenkina, Maria
Brachmann, Anselm
Bertamini, Marco
Kaduhm, Ali
Redies, Christoph
author_facet Grebenkina, Maria
Brachmann, Anselm
Bertamini, Marco
Kaduhm, Ali
Redies, Christoph
author_sort Grebenkina, Maria
collection PubMed
description We recently found that luminance edges are more evenly distributed across orientations in large subsets of traditional artworks, i.e., artworks are characterized by a relatively high entropy of edge orientations, when compared to several categories of other (non-art) images. In the present study, we asked whether edge-orientation entropy is associated with aesthetic preference in a wide variety of other man-made visual patterns and scenes. In the first (exploratory) part of the study, participants rated the aesthetic appeal of simple shapes, artificial ornamental patterns, facades of buildings, scenes of interior architecture, and music album covers. Results indicated that edge-orientation entropy predicts aesthetic ratings for these stimuli. However, the magnitude of the effect depended on the type of images analyzed, on the range of entropy values encountered, and on the type of aesthetic rating (pleasing, interesting, or harmonious). For example, edge-orientation entropy predicted about half of the variance when participants rated facade photographs for pleasing and interesting, but only for 3.5% of the variance for harmonious ratings of music album covers. We also asked whether edge-orientation entropy relates to the well-established human preference for curved over angular shapes. Our analysis revealed that edge-orientation entropy was as good or an even better predictor for the aesthetic ratings than curvilinearity. Moreover, entropy could substitute for shape, at least in part, to predict the aesthetic ratings. In the second (experimental) part of this study, we generated complex line stimuli that systematically varied in their edge-orientation entropy and curved/angular shape. Here, edge-orientation entropy was a more powerful predictor for ratings of pleasing and harmonious than curvilinearity, and as good a predictor for interesting. Again, the two image properties shared a large portion of variance between them. In summary, our results indicate that edge-orientation entropy predicts aesthetic ratings in diverse man-made visual stimuli. Moreover, the preference for high edge-orientation entropy shares a large portion of predicted variance with the preference for curved over angular stimuli.
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spelling pubmed-61723292018-10-15 Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images Grebenkina, Maria Brachmann, Anselm Bertamini, Marco Kaduhm, Ali Redies, Christoph Front Neurosci Neuroscience We recently found that luminance edges are more evenly distributed across orientations in large subsets of traditional artworks, i.e., artworks are characterized by a relatively high entropy of edge orientations, when compared to several categories of other (non-art) images. In the present study, we asked whether edge-orientation entropy is associated with aesthetic preference in a wide variety of other man-made visual patterns and scenes. In the first (exploratory) part of the study, participants rated the aesthetic appeal of simple shapes, artificial ornamental patterns, facades of buildings, scenes of interior architecture, and music album covers. Results indicated that edge-orientation entropy predicts aesthetic ratings for these stimuli. However, the magnitude of the effect depended on the type of images analyzed, on the range of entropy values encountered, and on the type of aesthetic rating (pleasing, interesting, or harmonious). For example, edge-orientation entropy predicted about half of the variance when participants rated facade photographs for pleasing and interesting, but only for 3.5% of the variance for harmonious ratings of music album covers. We also asked whether edge-orientation entropy relates to the well-established human preference for curved over angular shapes. Our analysis revealed that edge-orientation entropy was as good or an even better predictor for the aesthetic ratings than curvilinearity. Moreover, entropy could substitute for shape, at least in part, to predict the aesthetic ratings. In the second (experimental) part of this study, we generated complex line stimuli that systematically varied in their edge-orientation entropy and curved/angular shape. Here, edge-orientation entropy was a more powerful predictor for ratings of pleasing and harmonious than curvilinearity, and as good a predictor for interesting. Again, the two image properties shared a large portion of variance between them. In summary, our results indicate that edge-orientation entropy predicts aesthetic ratings in diverse man-made visual stimuli. Moreover, the preference for high edge-orientation entropy shares a large portion of predicted variance with the preference for curved over angular stimuli. Frontiers Media S.A. 2018-09-28 /pmc/articles/PMC6172329/ /pubmed/30323736 http://dx.doi.org/10.3389/fnins.2018.00678 Text en Copyright © 2018 Grebenkina, Brachmann, Bertamini, Kaduhm and Redies. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Grebenkina, Maria
Brachmann, Anselm
Bertamini, Marco
Kaduhm, Ali
Redies, Christoph
Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images
title Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images
title_full Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images
title_fullStr Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images
title_full_unstemmed Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images
title_short Edge-Orientation Entropy Predicts Preference for Diverse Types of Man-Made Images
title_sort edge-orientation entropy predicts preference for diverse types of man-made images
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172329/
https://www.ncbi.nlm.nih.gov/pubmed/30323736
http://dx.doi.org/10.3389/fnins.2018.00678
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