Output details
11 - Computer Science and Informatics
Aston University
Modelling the underlying principles of human aesthetic preference in evolutionary art
<22> Understanding human aesthetic preference is a very challenging task. Previous work by others involved simulation and no direct human participation. We propose that our algorithm based on the Pareto non-domination discovers a user's personal aesthetic preference after direct user observation.The Editorial introduction of the journal issue calls our contribution "tantalizing and promising" and the experimental design ingenious. Our evo::art web-based software tool featured in the European Commission's February 2013 newsletter "FET through the keyhole: Future and Emerging Technologies in Europe". We were invited to present this work at the Bridges conference on mathematics, music, art, architecture, culture.