title: Art expertise reduces influence of visual salience on fixation in viewing abstract-paintings.
abstract: When viewing a painting, artists perceive more information from the painting on the basis of their experience and knowledge than art novices do. This difference can be reflected in eye scan paths during viewing of paintings. Distributions of scan paths of artists are different from those of novices even when the paintings contain no figurative object (i.e. abstract paintings). There are two possible explanations for this difference of scan paths. One is that artists have high sensitivity to high-level features such as textures and composition of colors and therefore their fixations are more driven by such features compared with novices. The other is that fixations of artists are more attracted by salient features than those of novices and the fixations are driven by low-level features. To test these, we measured eye fixations of artists and novices during the free viewing of various abstract paintings and compared the distribution of their fixations for each painting with a topological attentional map that quantifies the conspicuity of low-level features in the painting (i.e. saliency map). We found that the fixation distribution of artists was more distinguishable from the saliency map than that of novices. This difference indicates that fixations of artists are less driven by low-level features than those of novices. Our result suggests that artists may extract visual information from paintings based on high-level features. This ability of artists may be associated with artists' deep aesthetic appreciation of paintings.
authors: Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan.
authors: Naoko
authors: N
authors: Koide
authors: Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan.
authors: Takatomi
authors: T
authors: Kubo
authors: Center for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, Japan.
authors: Satoshi
authors: S
authors: Nishida
authors: Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan; Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan.
authors: Tomohiro
authors: T
authors: Shibata
authors: Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan.
authors: Kazushi
authors: K
authors: Ikeda
mesh_terms: D001076:Aptitude; D001288:Attention / Q000502:physiology*; D004954:Esthetics; D005260:Female; D005403:Fixation, Ocular / Q000502:physiology*; D006801:Humans; D008297:Male; D010151:Paintings; D055815:Young Adult