TY - JOUR
T1 - Adapting models of visual aesthetics for personalized content creation
AU - Liapis, Antonios
AU - Yannakakis, Georgios N.
AU - Togelius, Julian
N1 - Funding Information:
Manuscript received November 04, 2011; revised February 15, 2012; accepted March 06, 2012. Date of publication April 17, 2012; date of current version September 11, 2012. This work was supported in part by the FP7 ICT Project SIREN (258453) and by the Danish Research Agency, Ministry of Science, Technology and Innovation project AGameComIn (274-09-0083).
PY - 2012
Y1 - 2012
N2 - 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 2-D 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 that show the potential of the approach in generating content which is based on subjective criteria of visual aesthetics.
AB - 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 2-D 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 that show the potential of the approach in generating content which is based on subjective criteria of visual aesthetics.
KW - Computational aesthetics
KW - constrained optimization
KW - experience-driven procedural content generation (EDPCG)
KW - interactive evolution
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U2 - 10.1109/TCIAIG.2012.2192438
DO - 10.1109/TCIAIG.2012.2192438
M3 - Article
AN - SCOPUS:84866478526
SN - 1943-068X
VL - 4
SP - 213
EP - 228
JO - IEEE Transactions on Computational Intelligence and AI in Games
JF - IEEE Transactions on Computational Intelligence and AI in Games
IS - 3
M1 - 6185648
ER -