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  Relating Objective Complexity, Subjective Complexity and Beauty

Nath, S., Brändle, F., Schulz, E., Dayan, P., & Brielmann, A. (2023). Relating Objective Complexity, Subjective Complexity and Beauty. In S. Merz, C. Frings, B. Leuchtenberg, B. Moeller, R. Neumann, B. Pastötter, et al. (Eds.), Abstracts of the 65th TeaP (pp. 262-263). Trier, Germany: ZPID.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-8FBE-D Version Permalink: https://hdl.handle.net/21.11116/0000-000D-8FC2-7
Genre: Meeting Abstract

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https://www.psycharchives.org/en/item/530c1dbe-d94e-4476-8d11-fba4e9021466 (Abstract)
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 Creators:
Nath, SS1, Author                 
Brändle, F2, Author                 
Schulz, E2, Author           
Dayan, P1, Author                 
Brielmann, A1, Author                 
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              

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 Abstract: The complexity of images critically influences our impression of them and our assessment of their beauty. However, there is no consensus on the best way to formalize an objective measure of complexity for images. Moreover, studies relating subjective assessments of complexity and beauty to objective measures are hampered by the use of hand-crafted stimuli, inhibiting generalization. To tackle these issues, we generated 2D black-and-white patterns using cellular automata, collected ratings of their subjective complexity and beauty from 80 participants, and assessed the relationship between these ratings and objective measures of complexity (density, asymmetry, entropy, local spatial complexity, Kolmogorov complexity). We also introduced “intricacy” which quantified the number of components in patterns using a graph-based approach. We found that a weighted combination of local spatial complexity and intricacy was an effective predictor (R2test=0.46) of subjective complexity. This implies that people’s complexity ratings depend on the number of distinct elements in the pattern along with their local spatial distribution – complexity judgments are therefore determined by integrating global and local image features. Furthermore, we found a positive linear relationship between beauty and complexity ratings, with a negative linear influence of disorder, namely asymmetry and entropy, and a negative interaction between the two (R2test=0.64). This implies there is beauty in complexity as long as there is sufficient order. Lastly, we found some evidence for individual differences with subjects displaying varying degrees of preference towards intricacy (in their complexity assessments) and dislike of disorder (in their beauty assessments).

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 Dates: 2023-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.23668/psycharchives.12945
 Degree: -

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Title: 65th Conference of Experimental Psychologists: TeaP 2023: Tagung experimentell arbeitender Psycholog:innen
Place of Event: Trier, Germany
Start-/End Date: 2023-03-26 - 2023-03-29

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Title: Abstracts of the 65th TeaP
Source Genre: Proceedings
 Creator(s):
Merz, S, Editor
Frings, C, Editor
Leuchtenberg, B, Editor
Moeller, B, Editor
Neumann, R, Editor
Pastötter, B, Editor
Pingen, L, Editor
Schui, G, Editor
Affiliations:
-
Publ. Info: Trier, Germany : ZPID
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 262 - 263 Identifier: -