Javaheri Javid, Mohammed Ali, Blackwell, Tim, Zimmer, Robert and Al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615 (2016) Correlation between human aesthetic judgement and spatial complexity measure. In: EvoMUSART 2016: Evolutionary and Biologically Inspired Music, Sound, Art and Design. Lecture Notes in Computer Science book series, 9596 . Springer-Verlag, Berlin, Heidelberg, Cham, pp. 79-91. ISBN 978-3-319-31007-7 ; 978-3-319-31008-4 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:https://doi.org/10.1007/978-3-319-31008-4_6)

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Abstract

The quantitative evaluation of order and complexity conforming with human intuitive perception has been at the core of computational notions of aesthetics. Informational theories of aesthetics have
taken advantage of entropy in measuring order and complexity of stimuli in relation to their aesthetic value. However entropy fails to discriminate structurally different patterns in a 2D plane. This paper investigates a computational measure of complexity, which is then compared to a results from a previous experimental study on human aesthetic perception in the visual domain. The model is based on the information gain from specifying the spacial distribution of pixels and their uniformity and nonuniformity in an image. The results of the experiments demonstrate the presence of correlations between a spatial complexity measure and the way in which humans are believed to aesthetically appreciate asymmetry.
However the experiments failed to provide a significant correlation
between the measure and aesthetic judgements of symmetrical images.

Item Type:	Conference Proceedings
Title of Proceedings:	EvoMUSART 2016: Evolutionary and Biologically Inspired Music, Sound, Art and Design
Additional Information:	Deposited by author MMA on July 17 2018 and modified on June 15 2021. Updated by MP on July 7 2021.
Uncontrolled Keywords:	human aesthetic judgements, spatial complexity, information theory, symmetry, complexity
Subjects:	B Philosophy. Psychology. Religion > BH Aesthetics M Music and Books on Music > M Music Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Liberal Arts & Sciences Faculty of Liberal Arts & Sciences > Computational Science & Engineering Group (CSEH)
Related URLs:	Publisher Publisher Publisher
Last Modified:	15 Jul 2021 09:33
URI:	http://gala.gre.ac.uk/id/eprint/20998

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