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Aesthetic Responses to Exact Fractals Driven by Physical Complexity.
Alexander J Bies1, Daryn R Blanc-Goldhammer1, Cooper R Boydston2
1Visual Neuroscience Laboratory, Department of Psychology, University of Oregon Eugene, OR, USA.
Human aesthetic preferences for exact fractals increase with fractal dimension. Symmetry and recursion significantly interact with dimension, with symmetry enhancing preference at lower recursion levels. These findings suggest distinct processing of exact versus statistical fractals.
Area of Science:
- Visual perception
- Cognitive psychology
- Aesthetics
Background:
- Fractals exhibit self-similarity across scales, with natural fractals having statistical pattern repetition and computer-generated fractals having exact repetition.
- The human aesthetic response to exact fractals, compared to statistical ones, remains underexplored.
Purpose of the Study:
- To investigate the human aesthetic response to the complexity of exact fractals.
- To determine how fractal dimension, symmetry, and recursion influence aesthetic preference.
- To compare the processing of exact fractals with statistical fractals.
Main Methods:
- Two studies presented various exact fractal patterns to human participants.
- Manipulated fractal dimension, symmetry (radial, mirror), and recursion levels.
- Collected preference ratings and analyzed the interaction of fractal properties.
Main Results:
- Preference for exact midpoint displacement fractals increased linearly with fractal dimension.
- Symmetry significantly enhanced preference ratings, especially at lower recursion levels and moderate to high fractal dimensions.
- Higher recursion levels were needed to achieve high preference in asymmetric fractals compared to symmetric ones.
Conclusions:
- Exact fractals are processed differently than statistical fractals, with aesthetic judgments influenced by dimension, recursion, and symmetry.
- Aesthetic preference is modulated by the interplay of these fractal properties.
- Proposed four key factors (dimension, recursion, symmetry, segment number) influencing fractal complexity and preference judgments.
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