Computer Sciences | Digital Humanities
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.
Gade, P. et al., 2017. Reactions to Imagery Generated Using Computational Aesthetic Measures. Leonardo, 50(5), pp.453–460. Available at: http://dx.doi.org/10.1162/LEON_a_01348.