title: The effects of positive versus negative feedback on information-integration category learning.
abstract: A number of studies have shown that in category learning, providing feedback about errors allows faster learning than providing feedback about correct responses. However, these previous studies used explicit, rule-based tasks in which the category structures could be separated by a simple rule that was easily verbalized. Here, the results of the first experiment known to compare the efficacy of positive versus negative feedback during information-integration category learning are reported. Information-integration tasks require participants to integrate perceptual information from incommensurable dimensions, and evidence suggests that optimal responding recruits procedural learning. The results show that although nearly all of the full-feedback control participants demonstrated information-integration learning, participants receiving either positive-only or negative-only feedback generally used explicit, rule-based strategies. It thus appears that, unlike rule-based learning, consistent information-integration learning requires full feedback. The theoretical implications of these findings for current models of information-integration learning are discussed.
authors.affiliation: Department of Psychology, University of California, Santa Barbara, California 93106, USA. ashby@psych.ucsb.edu
authors.forename: F Gregory
authors.initials: FG
authors.lastname: Ashby
authors.forename: Jeffrey B
authors.initials: JB
authors.lastname: O'Brien
mesh_terms: D000339:Affect; D003210:Concept Formation; D005246:Feedback; D006801:Humans; D007858:Learning