title: Sometimes it does hurt to ask: the constructive role of articulating impressions.
abstract: Decisions can sometimes have a constructive role, so that the act of, for example, choosing one option over another creates a preference for that option (e.g., Ariely & Norton, 2008; Payne, Bettman, & Johnson, 1993; Sharot, Velasquez, & Dolan, 2010; Sherman, 1980). In this work we explore the constructive role of just articulating an impression, for a presented visual stimulus, as opposed to making a choice (specifically, the judgments we employ are affective evaluations). Using quantum probability theory, we outline a cognitive model formalizing such a constructive process. We predict a simple interaction, in relation to how a second image is evaluated, following the presentation of a first image, depending on whether there is a rating for the first image or not. The interaction predicted by the quantum model was confirmed across three experiments and a variety of control manipulations. The advantages of using quantum probability theory to model the present results, compared with existing models of sequence order effects in judgment (e.g., Hogarth & Einhorn, 1992) or other theories of constructive processes when a choice is made (e.g., Festinger, 1957; Sharot et al., 2010) are discussed.
authors: Department of Psychology, Swansea University, United Kingdom. Electronic address: l.c.white.517813@swansea.ac.uk.
authors: Lee C
authors: LC
authors: White
authors: Department of Psychology, City University London, United Kingdom.
authors: Emmanuel M
authors: EM
authors: Pothos
authors: Department of Psychological and Brain Sciences, Indiana University, United States.
authors: Jerome R
authors: JR
authors: Busemeyer
mesh_terms: D002755:Choice Behavior; D005260:Female; D006801:Humans; D007600:Judgment; D008297:Male; D010775:Photic Stimulation; D011336:Probability; D011582:Psychological Theory; D035501:Uncertainty; D055815:Young Adult
keywords: Affective uncertainty; Interference effects; Judgement and decision-making; Quantum probability