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Using recognition in multi-attribute decision environments

Year: 2013
Type: article
Abstract: An experiment examined the effect of 'pure' recognitionin the absence of concomitant evaluation -on inferences.In the first stage of the experiment, participants indicated whether they recognized a number of Italian and US cities.In the second stage, they decided which of two cities had the larger population.Crucially, names of the cities were not available in the second stage, but participants could find out whether they had recognized them (yes/no) in the first stage of the experiment (i.e., pure recognition).Additional predictive cues (e.g., presence/absence of a university) were also available.Participants used the recognition cue about 50% of the time, rarely examined it first, and used it differently as a function of whether recognition information was binary or continuous.Furthermore, participants used the recognition cue more often if they recognized more items, irrespective of its predictive validity.Implications for theoretical frameworks that view inference as driven by discrete heuristics or processes of evidenceaccumulation are briefly discussed.
Language: English
Open Access status: green
OpenAlex ID: W2398094318
FWCI: 0.243
Cites: 19
Cited by: 1
Related to: 10