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Liking versus Complexity: Decomposing the Inverted U-curve.

Yağmur Güçlütürk1, Richard H A H Jacobs1, Rob van Lier1

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Summary
This summary is machine-generated.

Individual aesthetic preferences for stimulus complexity vary greatly. This study reveals that the common inverted U-curve liking pattern emerges from combining opposing individual preferences, not from widespread agreement.

Keywords:
clustering analysiscomplexityexperimental aestheticsindividual differencesliking

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Area of Science:

  • Cognitive Psychology
  • Aesthetics
  • Human-Computer Interaction

Background:

  • The relationship between liking and stimulus complexity is often described as an inverted U-curve.
  • However, significant individual differences in complexity preferences are consistently observed.
  • Current analysis methods often mask these individual variations by averaging across participants.

Purpose of the Study:

  • To investigate the underlying individual differences in aesthetic preferences for visual complexity.
  • To determine if the aggregated inverted U-curve pattern is a true representation of individual responses.
  • To propose alternative analytical approaches for studying aesthetic preferences.

Main Methods:

  • Collected liking and perceived complexity ratings from 30 participants for digital grayscale images.
  • Calculated an objective measure of stimulus complexity for each image.
  • Employed automatic clustering to group participants based on their liking patterns.

Main Results:

  • The aggregated inverted U-curve relationship is a composite of diverse individual liking functions.
  • One participant group showed decreasing liking with increasing complexity.
  • Another group exhibited increasing liking with increasing complexity.

Conclusions:

  • The established inverted U-curve in aesthetics may be an artifact of across-participant analysis.
  • Individual differences in aesthetic preferences are substantial and warrant focused investigation.
  • Re-evaluation of established principles of human aesthetic preferences is needed, considering individual variability.