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Adapting models of visual aesthetics for personalized content creation
This paper introduces a search-based approach to
personalized content generation with respect to visual aesthetics.
The approach is based on a two-step adaptation procedure
where (1) the evaluation function that characterizes the content
is adjusted to match the visual aesthetics of users and (2) the
content itself is optimized based on the personalized evaluation
function. To test the efficacy of the approach we design fitness
functions based on universal properties of visual perception,
inspired by psychological and neurobiological research. Using
these visual properties we generate aesthetically pleasing 2D
game spaceships via neuroevolutionary constrained optimization
and evaluate the impact of the designed visual properties on the
generated spaceships. The offline generated spaceships are used
as the initial population of an interactive evolution experiment in
which players are asked to choose spaceships according to their
visual taste: the impact of the various visual properties is adjusted
based on player preferences and new content is generated online
based on the updated computational model of visual aesthetics
of the player. Results are presented which show the potential of
the approach in generating content which is based on subjective
criteria of visual aesthetics.Thanks to all the participants of the interactive evolution
experiement. The research was supported, in part, by the
FP7 ICT project SIREN (project no: 258453) and by the
Danish Research Agency, Ministry of Science, Technology
and Innovation project AGameComIn; project number: 274-
09-0083.peer-reviewe
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