Understanding memorability through artificial and artist intelligence
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Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
Published on: November 14, 2018
Lore Goetschalckx1, Claudia Damiano2
1Carney Institute for Brain Science, Department of Cognitive Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA.
Abstract:
Davis and Bainbridge reveal a consistent memorability signal for artworks, both online and in a museum setting, which is predicted by the intrinsic visual attributes of the paintings. The fusion of artificial intelligence (AI) with artistic intuition emerges as a promising avenue to deepen our understanding of what makes images memorable.
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