Predicting perceived visual complexity of abstract patterns using computational measures: The influence of mirror symmetry on complexity perception

PloS One
Andreas Gartus, Helmut Leder

Abstract

Visual complexity is relevant for many areas ranging from improving usability of technical displays or websites up to understanding aesthetic experiences. Therefore, many attempts have been made to relate objective properties of images to perceived complexity in artworks and other images. It has been argued that visual complexity is a multidimensional construct mainly consisting of two dimensions: A quantitative dimension that increases complexity through number of elements, and a structural dimension representing order negatively related to complexity. The objective of this work is to study human perception of visual complexity utilizing two large independent sets of abstract patterns. A wide range of computational measures of complexity was calculated, further combined using linear models as well as machine learning (random forests), and compared with data from human evaluations. Our results confirm the adequacy of existing two-factor models of perceived visual complexity consisting of a quantitative and a structural factor (in our case mirror symmetry) for both of our stimulus sets. In addition, a non-linear transformation of mirror symmetry giving more influence to small deviations from symmetry greatly increased explained ...Continue Reading

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Citations

Nov 27, 2018·PloS One·Damián H Zanette
Oct 7, 2019·British Journal of Psychology·Guido CorradiMarcos Nadal
May 15, 2018·I-Perception·Hanna WeichselbaumUlrich Ansorge
Sep 14, 2018·Frontiers in Psychology·Catherine Viengkham, Branka Spehar

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Methods Mentioned

BETA
imaging techniques

Software Mentioned

lme4
randomForest
leaps
Prime
LOWESS
MATLAB

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