Correlation Between Human Aesthetic Judgement and Spatial Complexity Measure

  • Mohammad Ali Javaheri JavidEmail author
  • Tim Blackwell
  • Robert Zimmer
  • Mohammad  Majid al-Rifaie
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9596)


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 non-uniformity 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.


Human aesthetic judgements Spatial complexity Information theory Symmetry Complexity 



We are grateful to Thomas Jacobsen of Helmut Schmidt University for granting permission to use his experimental stimuli.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Mohammad Ali Javaheri Javid
    • 1
    Email author
  • Tim Blackwell
    • 1
  • Robert Zimmer
    • 1
  • Mohammad  Majid al-Rifaie
    • 1
  1. 1.Department of ComputingGoldsmiths, University of LondonLondonUK

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