Reactions to imagery generated using computational aesthetic measures

Show simple item record Gade, Prasad Galvin, Mary O'Sullivan, James Walsh, Paul Murphy, Órla 2017-10-24T10:47:49Z 2017-10-24T10:47:49Z 2017-10-02
dc.identifier.citation Gade, 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_01348 en
dc.identifier.volume 50 en
dc.identifier.issued 5 en
dc.identifier.startpage 453 en
dc.identifier.endpage 460 en
dc.identifier.issn 0024-094X
dc.identifier.doi 10.1162/LEON_a_01348
dc.description.abstract This 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.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Massachusetts Institute of Technology Press (MIT Press) en
dc.rights © 2017 ISAST. Published by MIT Press. en
dc.subject Computational Aesthetics en
dc.subject Digital Humanities en
dc.subject Digital landscape en
dc.subject Image perception en
dc.title Reactions to imagery generated using computational aesthetic measures en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother James O'Sullivan, College Of Acsss Office, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en Access to this article is restricted until 6 months after publication by request of the publisher. en 2018-04-02 2017-10-20T13:09:38Z
dc.description.version Published Version en
dc.internal.rssid 414341591
dc.description.status Peer reviewed en
dc.identifier.journaltitle Leonardo en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress en

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