Salience in Paintings: Bottom-Up Influences on Eye Fixations
Autor(en): | Fuchs, Isabella Ansorge, Ulrich Redies, Christoph Leder, Helmut |
Stichwörter: | Art perception; ATTENTIONAL CAPTURE; Computer Science; Computer Science, Artificial Intelligence; Eye movements; MOVEMENTS; Neurosciences; Neurosciences & Neurology; REAL-WORLD SCENES; RECOGNITION; Salience; SEARCH; SELECTION; STATISTICS; STIMULUS-DRIVEN; TIME; Visual attention; VISUAL-ATTENTION | Erscheinungsdatum: | 2011 | Herausgeber: | SPRINGER | Journal: | COGNITIVE COMPUTATION | Volumen: | 3 | Ausgabe: | 1, SI | Startseite: | 25 | Seitenende: | 36 | Zusammenfassung: | In the current study, we investigated whether visual salience attracts attention in a bottom-up manner. We presented abstract and depictive paintings as well as photographs to naive participants in free-viewing (Experiment 1) and target-search (Experiment 2) tasks. Image salience was computed in terms of local feature contrasts in color, luminance, and orientation. Based on the theories of stimulus-driven salience effects on attention and fixations, we expected salience effects in all conditions and a characteristic short-lived temporal profile of the salience-driven effect on fixations. Our results confirmed the predictions. Results are discussed in terms of their potential implications. |
ISSN: | 18669956 | DOI: | 10.1007/s12559-010-9062-3 |
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