A Gaze-Driven Evolutionary Algorithm to Study Aesthetic Evaluation of Visual Symmetry

Empirical work has shown that people like visual symmetry. We used a gaze-driven evolutionary algorithm technique to answer three questions about symmetry preference. First, do people automatically evaluate symmetry without explicit instruction? Second, is perfect symmetry the best stimulus, or do p...

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Detalles Bibliográficos
Autores principales: Makin, Alexis D. J., Bertamini, Marco, Jones, Andrew, Holmes, Tim, Zanker, Johannes M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934674/
https://www.ncbi.nlm.nih.gov/pubmed/27433324
http://dx.doi.org/10.1177/2041669516637432

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934674/
https://www.ncbi.nlm.nih.gov/pubmed/27433324
http://dx.doi.org/10.1177/2041669516637432

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