Show simple item record Forsythe, Alex 2011-03-08T11:46:54Z 2011-03-08T11:46:54Z 2011-01
dc.identifier.citation Forsythe , A 2011 , ' Predicting beauty: Fractal dimension and visual complexity in art ' British Journal of Psychology , vol 102 , no. 1 , pp. 49-70 . DOI: 10.1348/000712610X498958 en
dc.identifier.issn 2044-8295
dc.identifier.other PURE: 157992
dc.identifier.other PURE UUID: 4eca1c8e-f28b-4778-aabd-8a06d125210c
dc.identifier.other dspace: 2160/6159
dc.description Forsythe, A., Nadal, M., Cela-Conde, C. J., Sawey, M. (2011) Predicting beauty: Fractal dimension and visual. British Journal of Psychology 102, 49–70 en
dc.description.abstract Visual complexity has been known to be a significant predictor of preference for artistic works for some time. The first study reported here examines the extent to which perceived visual complexity in art can be successfully predicted using automated measures of complexity. Contrary to previous findings the most successful predictor of visual complexity was Gif compression. The second study examined the extent to which fractal dimension could account for judgments of perceived beauty. The fractal dimension measure accounts for more of the variance in judgments of perceived beauty in visual art than measures of visual complexity alone, particularly for abstract and natural images. Results also suggest that when colour is removed from an artistic image observers are unable to make meaningful judgments as to its beauty. en
dc.language.iso eng
dc.relation.ispartof British Journal of Psychology en
dc.rights en
dc.title Predicting beauty: Fractal dimension and visual complexity in art en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Department of Psychology en
dc.description.status Peer reviewed en

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