TY - GEN
T1 - Estimating and predicting average likability on computer-generated artwork variants
AU - Martinez, Jabier
AU - Rossi, Gabriele
AU - Ziadi, Tewfik
AU - Bissyandé, Tegawendé F.
AU - Klein, Jacques
AU - Le Traon, Yves
PY - 2015/7/11
Y1 - 2015/7/11
N2 - Computer assisted human creativity encodes human design decisions in algorithms allowing machines to produce artwork variants. Based on this automated production, one can leverage collective understanding of beauty to rank computergenerated artworks according to their average likability. We present the use of Software Product Line techniques for computer-generated art systems as a case study on leveraging the feedback of human perception within the boundaries of a variability model. Since it is not feasible to get feedback for all variants because of a combinatorial explosion of possible configurations, we propose an approach that is developed in two phases: 1) the creation of a data set using an interactive genetic algorithm and 2) the application of a data mining technique on this dataset to create a ranking enriched with confidence metrics.
AB - Computer assisted human creativity encodes human design decisions in algorithms allowing machines to produce artwork variants. Based on this automated production, one can leverage collective understanding of beauty to rank computergenerated artworks according to their average likability. We present the use of Software Product Line techniques for computer-generated art systems as a case study on leveraging the feedback of human perception within the boundaries of a variability model. Since it is not feasible to get feedback for all variants because of a combinatorial explosion of possible configurations, we propose an approach that is developed in two phases: 1) the creation of a data set using an interactive genetic algorithm and 2) the application of a data mining technique on this dataset to create a ranking enriched with confidence metrics.
KW - Computer-generated art
KW - Data mining
KW - Interactive genetic algorithms
KW - Software product lines
KW - User feedback
UR - https://www.scopus.com/pages/publications/84959357845
U2 - 10.1145/2739482.2764681
DO - 10.1145/2739482.2764681
M3 - Conference contribution
AN - SCOPUS:84959357845
T3 - GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference
SP - 1431
EP - 1432
BT - GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference
A2 - Silva, Sara
PB - Association for Computing Machinery, Inc
T2 - 17th Genetic and Evolutionary Computation Conference, GECCO 2015
Y2 - 11 July 2015 through 15 July 2015
ER -