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Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns

In two experiments, we investigate group and individual preferences in a range of different types of patterns with varying fractal-like scaling characteristics. In Experiment 1, we used 1/f filtered grayscale images as well as their thresholded (black and white) and edges only counterparts. Separate...

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Detalles Bibliográficos
Autores principales: Spehar, Branka, Walker, Nicholas, Taylor, Richard P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937063/
https://www.ncbi.nlm.nih.gov/pubmed/27458365
http://dx.doi.org/10.3389/fnhum.2016.00350
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author Spehar, Branka
Walker, Nicholas
Taylor, Richard P.
author_facet Spehar, Branka
Walker, Nicholas
Taylor, Richard P.
author_sort Spehar, Branka
collection PubMed
description In two experiments, we investigate group and individual preferences in a range of different types of patterns with varying fractal-like scaling characteristics. In Experiment 1, we used 1/f filtered grayscale images as well as their thresholded (black and white) and edges only counterparts. Separate groups of observers viewed different types of images varying in slope of their amplitude spectra. Although with each image type, the groups exhibited the “universal” pattern of preference for intermediate amplitude spectrum slopes, we identified 4 distinct sub-groups in each case. Sub-group 1 exhibited a typical peak preference for intermediate amplitude spectrum slopes (“intermediate”; approx. 50%); sub-group 2 exhibited a linear increase in preference with increasing amplitude spectrum slope (“smooth”; approx. 20%), while sub-group 3 exhibited a linear decrease in preference as a function of the amplitude spectrum slope (“sharp”; approx. 20%). Sub-group 4 revealed no significant preference (“other”; approx. 10%). In Experiment 2, we extended the range of different image types and investigated preferences within the same observers. We replicate the results of our first experiment and show that individual participants exhibit stable patterns of preference across a wide range of image types. In both experiments, Q-mode factor analysis identified two principal factors that were able to explain more than 80% of interindividual variations in preference across all types of images, suggesting a highly similar dimensional structure of interindividual variations in preference for fractal-like scaling characteristics.
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spelling pubmed-49370632016-07-25 Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns Spehar, Branka Walker, Nicholas Taylor, Richard P. Front Hum Neurosci Neuroscience In two experiments, we investigate group and individual preferences in a range of different types of patterns with varying fractal-like scaling characteristics. In Experiment 1, we used 1/f filtered grayscale images as well as their thresholded (black and white) and edges only counterparts. Separate groups of observers viewed different types of images varying in slope of their amplitude spectra. Although with each image type, the groups exhibited the “universal” pattern of preference for intermediate amplitude spectrum slopes, we identified 4 distinct sub-groups in each case. Sub-group 1 exhibited a typical peak preference for intermediate amplitude spectrum slopes (“intermediate”; approx. 50%); sub-group 2 exhibited a linear increase in preference with increasing amplitude spectrum slope (“smooth”; approx. 20%), while sub-group 3 exhibited a linear decrease in preference as a function of the amplitude spectrum slope (“sharp”; approx. 20%). Sub-group 4 revealed no significant preference (“other”; approx. 10%). In Experiment 2, we extended the range of different image types and investigated preferences within the same observers. We replicate the results of our first experiment and show that individual participants exhibit stable patterns of preference across a wide range of image types. In both experiments, Q-mode factor analysis identified two principal factors that were able to explain more than 80% of interindividual variations in preference across all types of images, suggesting a highly similar dimensional structure of interindividual variations in preference for fractal-like scaling characteristics. Frontiers Media S.A. 2016-07-08 /pmc/articles/PMC4937063/ /pubmed/27458365 http://dx.doi.org/10.3389/fnhum.2016.00350 Text en Copyright © 2016 Spehar, Walker and Taylor. 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 and reproduction in other forums is permitted, provided the original author(s) or licensor 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
Spehar, Branka
Walker, Nicholas
Taylor, Richard P.
Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns
title Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns
title_full Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns
title_fullStr Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns
title_full_unstemmed Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns
title_short Taxonomy of Individual Variations in Aesthetic Responses to Fractal Patterns
title_sort taxonomy of individual variations in aesthetic responses to fractal patterns
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937063/
https://www.ncbi.nlm.nih.gov/pubmed/27458365
http://dx.doi.org/10.3389/fnhum.2016.00350
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