Line Spacing in Mondrian Paintings and Computer-Generated Modifications.

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Bibliographic Details
Title: Line Spacing in Mondrian Paintings and Computer-Generated Modifications.
Authors: Wolach, Allen H., McHale, Maureen A.
Source: Journal of General Psychology. Jul2005, Vol. 132 Issue 3, p281-291. 11p. 1 Diagram, 1 Chart.
Subjects: Computer-generated imagery, Mondrian, Piet, 1872-1944, Pictures, Students, Algorithms
Abstract: Students compared computer-generated pictures of which 1 had line spacing and orientation proportional to that in a Mondrian picture (Mondrian-like), and 9 had divergent line spacing (divergently spaced). Preference was above average for the Mondrian-like picture compared with that for the divergently spaced pictures. However, participants did not prefer the Mondrian-like picture to divergently spaced pictures that were preselected as aesthetically pleasing by other participants. The results of the present experiments suggest that a computer algorithm can be developed to modify a picture in a way that is comparable with the way in which humans modify a picture to obtain a preferred picture. If aesthetic appeal is used in the storage and retrieval of visual information, then the algorithm could provide a better understanding of human perceptual processes. The results are related to consistency of aesthetic judgments across participants, levels of processing, and apparent contrast effects. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
Description
Abstract:Students compared computer-generated pictures of which 1 had line spacing and orientation proportional to that in a Mondrian picture (Mondrian-like), and 9 had divergent line spacing (divergently spaced). Preference was above average for the Mondrian-like picture compared with that for the divergently spaced pictures. However, participants did not prefer the Mondrian-like picture to divergently spaced pictures that were preselected as aesthetically pleasing by other participants. The results of the present experiments suggest that a computer algorithm can be developed to modify a picture in a way that is comparable with the way in which humans modify a picture to obtain a preferred picture. If aesthetic appeal is used in the storage and retrieval of visual information, then the algorithm could provide a better understanding of human perceptual processes. The results are related to consistency of aesthetic judgments across participants, levels of processing, and apparent contrast effects. [ABSTRACT FROM AUTHOR]
ISSN:00221309
DOI:10.3200/GENP.132.3.281-291