Reactions to imagery generated using computational aesthetic measures

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dc.contributor.authorGade, Prasad
dc.contributor.authorGalvin, Mary
dc.contributor.authorO'Sullivan, James
dc.contributor.authorWalsh, Paul
dc.contributor.authorMurphy, Órla
dc.date.accessioned2017-10-24T10:47:49Z
dc.date.available2017-10-24T10:47:49Z
dc.date.issued2017-10-02
dc.date.updated2017-10-20T13:09:38Z
dc.description.abstractThis article examines whether textural generation system imagery evolved with computational aesthetic support can be judged as having aesthetic attributes, both when knowing and not knowing its true origin. Such a generation, depicting a digital landscape, is offered to two groups of participants to appraise. It is hypothesized that there will be no statistically significant difference between the groups on their appraisal of the image. Results from statistical analysis prove to be consistent with this hypothesis. A minority of participants, however, do exhibit significant differences in their perception of the image based on its means of production. This article explores and illustrates these differences.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGade, P., Galvin, M., O’Sullivan, J., Walsh, P. and Murphy, Ó. (2017) 'Reactions to Imagery Generated Using Computational Aesthetic Measures', Leonardo, 50(5), pp. 453-460. doi:10.1162/LEON_a_01348en
dc.identifier.doi10.1162/LEON_a_01348
dc.identifier.endpage460en
dc.identifier.issn0024-094X
dc.identifier.issued5en
dc.identifier.journaltitleLeonardoen
dc.identifier.startpage453en
dc.identifier.urihttps://hdl.handle.net/10468/4928
dc.identifier.volume50en
dc.language.isoenen
dc.publisherMassachusetts Institute of Technology Press (MIT Press)en
dc.relation.urihttp://www.mitpressjournals.org/doi/pdf/10.1162/LEON_a_01348
dc.rights© 2017 ISAST. Published by MIT Press.en
dc.subjectComputational Aestheticsen
dc.subjectDigital Humanitiesen
dc.subjectDigital landscapeen
dc.subjectImage perceptionen
dc.titleReactions to imagery generated using computational aesthetic measuresen
dc.typeArticle (peer-reviewed)en
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