title: Interest and attention in facial recognition.
abstract: When applied to facial recognition, the levels of processing paradigm has yielded consistent results: faces processed in deep conditions are recognized better than faces processed under shallow conditions. However, there are multiple explanations for this occurrence. The own-race advantage in facial recognition, the tendency to recognize faces from one's own race better than faces from another race, is also consistently shown but not clearly explained. This study was designed to test the hypothesis that the levels of processing findings in facial recognition are a result of interest and attention, not differences in processing. This hypothesis was tested for both own and other faces with 105 Caucasian general psychology students. Levels of processing was manipulated as a between-subjects variable; students were asked to answer one of four types of study questions, e.g., "deep" or "shallow" processing questions, while viewing the study faces. Students' recognition of a subset of previously presented Caucasian and African-American faces from a test-set with an equal number of distractor faces was tested. They indicated their interest in and attention to the task. The typical levels of processing effect was observed with better recognition performance in the deep conditions than in the shallow conditions for both own- and other-race faces. The typical own-race advantage was also observed regardless of level of processing condition. For both own- and other-race faces, level of processing explained a significant portion of the recognition variance above and beyond what was explained by interest in and attention to the task.
authors.affiliation: Department of Psychology, Southwestern Oklahoma State University, Weatherford 73096, USA. burgesm@swosu.edu
authors.forename: Melinda C R
authors.initials: MC
authors.lastname: Burgess
authors.forename: George E
authors.initials: GE
authors.lastname: Weaver
mesh_terms: D000328:Adult; D001288:Attention; D001290:Attitude; D005145:Face; D005260:Female; D006801:Humans; D008297:Male; D010551:Personality; D021641:Recognition, Psychology; D012044:Regression Analysis