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Informational aesthetics measures.

Jaume Rigau1, Miquel Feixas, Mateu Sbert

  • 1University of Girona, Spain. rigau@ima.udg.edu

IEEE Computer Graphics and Applications
|March 21, 2008
PubMed
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Researchers quantify aesthetic experience using information theory and Kolmogorov complexity. They developed new ratios to measure the balance between order and complexity in objects, advancing informational aesthetics.

Area of Science:

  • Information theory
  • Aesthetics
  • Computer science

Background:

  • The Birkhoff aesthetic measure defines beauty as the ratio of an object's order to its complexity.
  • Informational aesthetics interprets this measure through an information-theoretic lens.

Purpose of the Study:

  • To define quantifiable ratios for aesthetic experience.
  • To apply information theory and Kolmogorov complexity to aesthetic measure.

Main Methods:

  • Developing ratios based on information theory.
  • Utilizing Kolmogorov complexity for measuring object complexity.
  • Applying these ratios to quantify aesthetic experience.

Main Results:

  • A set of novel ratios were defined to quantify aesthetic experience.

Related Experiment Videos

  • The proposed ratios provide a computational approach to aesthetic measure.

    • Conclusions:

    • The study offers a framework for the information-theoretic quantification of aesthetic experience.
    • This approach bridges the gap between computational complexity and subjective aesthetic judgments.