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    Reactions to Imagery Generated Using Computational Aesthetic Measures


    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

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    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.

    Item Type: Article
    Keywords: Reactions; Imagery; Computational Aesthetic Measures;
    Academic Unit: Faculty of Social Sciences > Design Innovation
    Item ID: 12780
    Identification Number: https://doi.org/10.1162/LEON_a_01348
    Depositing User: Mary Galvin
    Date Deposited: 21 Apr 2020 10:15
    Journal or Publication Title: LEONARDO
    Publisher: Massachusetts Institute of Technology Press
    Refereed: Yes
    URI:

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