Gade, Prasad and Galvin, Mary and O'Sullivan, James and Walsh, Paul and Murphy, Orla
(2017)
Reactions to Imagery Generated Using
Computational Aesthetic Measures.
LEONARDO, 50 (5).
pp. 453-460.
ISSN 0024-094X
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.
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