Abstract:
Our understanding of creativity is limited, yet there is substantial research trying to mimic human creativity in
artificial systems and in particular to produce systems that automatically evolve art appreciated by humans.
We propose here to study human visual preference through observation of nearly 500 user sessions with a simple
evolutionary art system. The progress of a set of aesthetic measures throughout each interactive user session is
monitored and subsequently mimicked by automatic evolution in an attempt to produce an image to the liking of
the human user.
