title: Show me the features! Understanding recognition from the use of visual information.
abstract: We propose an approach that allows a rigorous understanding of the visual categorization and recognition process without asking direct questions about unobservable memory representations. Our approach builds on the selective use of visual information in recognition and a new method (Bubbles) to depict and measure what this information is. We examine three face-recognition tasks (identity, gender, expressive or not) and establish the componential and holistic information responsible for recognition performance. On the basis of this information, we derive task-specific gradients of probability for the allocation of attention to the different regions of the face.
authors.affiliation: Department of Psychology, University of Glasgow, United Kingdom. philippe@psy.gla.ac.uk
authors.forename: Philippe G
authors.initials: PG
authors.lastname: Schyns
authors.forename: Lizann
authors.initials: L
authors.lastname: Bonnar
authors.forename: Frédéric
authors.initials: F
authors.lastname: Gosselin
mesh_terms: D000293:Adolescent; D000328:Adult; D001288:Attention; D003867:Depth Perception; D004193:Discrimination Learning; D005149:Facial Expression; D005260:Female; D006801:Humans; D008297:Male; D011939:Mental Recall; D009949:Orientation; D010364:Pattern Recognition, Visual; D011601:Psychophysics