title: Interference effects of categorization on decision making.
abstract: Many decision making tasks in life involve a categorization process, but the effects of categorization on subsequent decision making has rarely been studied. This issue was explored in three experiments (N=721), in which participants were shown a face stimulus on each trial and performed variations of categorization-decision tasks. On C-D trials, they categorized the stimulus and then made an action decision; on X-D trials, they were told the category and then made an action decision; on D-alone trials, they only made an action decision. An interference effect emerged in some of the conditions, such that the probability of an action on the D-alone trials (i.e., when there was no explicit categorization before the decision) differed from the total probability of the same action on the C-D or X-D trials (i.e., when there was explicit categorization before the decision). Interference effects are important because they indicate a violation of the classical law of total probability, which is assumed by many cognitive models. Across all three experiments, a complex pattern of interference effects systematically occurred for different types of stimuli and for different types of categorization-decision tasks. These interference effects present a challenge for traditional cognitive models, such as Markov and signal detection models, but a quantum cognition model, called the belief-action entanglement (BAE) model, predicted that these results could occur. The BAE model employs the quantum principles of superposition and entanglement to explain the psychological mechanisms underlying the puzzling interference effects. The model can be applied to many important and practical categorization-decision situations in life.
authors.affiliation: School of Communication, The Ohio State University, 3145 Derby Hall, 154 N. Oval, Columbus, OH 43210, United States. Electronic address: wang.1243@osu.edu.
authors.forename: Zheng
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Indiana University, United States.
authors.forename: Jerome R
authors.initials: JR
authors.lastname: Busemeyer
mesh_terms: D000293:Adolescent; D003657:Decision Making / Q000502:physiology*; D005149:Facial Expression; D005260:Female; D006801:Humans; D007206:Individuality; D008297:Male; D010775:Photic Stimulation / Q000379:methods*; D055815:Young Adult
keywords: Categorization; Decision; Entanglement; Interference effects; Law of total probability; Markov model; Quantum probability; Signal detection model; Superposition