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Related Experiment Videos

Innate and learned components of human visual preference.

I Rentschler1, M Jüttner, A Unzicker

  • 1Institute of Medical Psychology, University of Munich, Goethestrasse 31, 80336, München, Germany. ingo@imp.med.uni-muenchen.de

Current Biology : CB
|July 8, 1999
PubMed
Summary
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Human aesthetic preferences for images are shaped by both innate visual recognition mechanisms and learned interpretations. Visual complexity preferences change with learning, while symmetry preferences remain constant, suggesting different brain processing modes.

Area of Science:

  • Neuroscience
  • Evolutionary Biology
  • Cognitive Science

Background:

  • Aesthetic sense may stem from preferences for image signals matching innate brain mechanisms for visual recognition.
  • Investigates the interplay between innate predispositions and learned experiences in shaping visual preferences.

Purpose of the Study:

  • To test the hypothesis that aesthetic preferences are linked to visual recognition mechanisms.
  • To determine how category learning influences human preference judgments for images.
  • To explore the computational basis of visual preferences.

Main Methods:

  • Behavioral measurement of human preference judgments for unfamiliar images.
  • Analysis of preference shifts following category learning.
  • Computational modeling of internal representations of categorical concepts.

Related Experiment Videos

  • Relating behavioral data to computational models.

    • Main Results:

    • Category learning significantly altered preference behavior.
    • Two key factors influencing preference were identified: complexity and bilateral symmetry.
    • Preference for complexity varied with acquired object knowledge (learned interpretation).
    • Preference for symmetry was independent of learning experience.
    • Computer simulations indicated complexity preference involves top-down processing, while symmetry preference involves bottom-up processing.

    Conclusions:

    • Human visual preferences are a combination of objective image regularities and subjective learned interpretations.
    • Distinct factors (complexity, symmetry) reflect different aspects of visual processing.
    • Learned interpretation and innate factors contribute to aesthetic judgments through complementary brain mechanisms.