title: Producing biased diagnoses with unambiguous stimuli: The importance of feature instantiations.
abstract: In this article, the authors demonstrate a laboratory analogue of medical diagnostic biasing (V. R. LeBlanc, G. R. Norman, & L. R. Brooks, 2001) in 2 experiments and explore the basis of this effect. Before categorizing novel exemplars, participants first evaluated the likelihood that the item was a member of the category suggested on that trial: either the correct category or a plausible alternative category. This was sufficient to produce a substantial bias toward the suggested category despite the use of unambiguous stimuli, explicit rules, and unhurried conditions--each of which would be likely to limit diagnostic bias. The authors argue that the production of this effect requires distinguishing between particular feature instantiations and more abstract representations of those features as well as allowing people to adopt a particular decision strategy mediating the use of instantiated features: a feature-recognition heuristic.
authors.affiliation: Department of Psychology, Neuroscience, and Behaviour, McMaster University, Hamilton, ON, Canada. hannahsd@mcmaster.ca
authors.forename: Samuel D
authors.initials: SD
authors.lastname: Hannah
authors.forename: Lee R
authors.initials: LR
authors.lastname: Brooks
mesh_terms: D001245:Association Learning; D015982:Bias; D003210:Concept Formation; D003657:Decision Making; D003933:Diagnosis; D004193:Discrimination Learning; D006801:Humans; D016013:Likelihood Functions; D010364:Pattern Recognition, Visual; D011337:Probability Learning; D011340:Problem Solving; D014163:Transfer, Psychology