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Using confidence ratings to identify a target among foils

Citation

Sauer, J and Brewer, N and Weber, N, Using confidence ratings to identify a target among foils, Journal of Applied Research in Memory and Cognition, 1, (2) pp. 80-88. ISSN 2211-3681 (2012) [Refereed Article]

Copyright Statement

Copyright 2012 Elsevier

DOI: doi:10.1016/j.jarmac.2012.03.003

Abstract

Sauer, Brewer, and Weber (2008) advanced a novel procedure for testing eyewitness recognition memory. Rather than providing a single decision (i.e., identifying a lineup member or rejecting the lineup as a whole), participants rated their confidence that each lineup member was the culprit. Classification algorithms determined when patterns of confidence ratings indicated suspect guilt or innocence. Across varied test stimuli, confidence-based classifications equalled or out-performed single decisions. However, Sauer et al.'s classification criteria were designed to optimize performance for the data to which they were applied. If effective classification using confidence ratings requires such idiosyncratic criteria, the applied utility of the confidence procedure is nil. We re-analysed the data from Sauer et al.'s two identification experiments and demonstrated that confidence-based classification performance exceeding that of a traditional lineup task did not depend on uniquely developed classification criteria. Confidence-rating lineups offer a potentially promising alternative to procedures requiring single decisions from witnesses.

Item Details

Item Type:Refereed Article
Keywords:eyewitness memory, eyewitness identification, confidence
Research Division:Psychology and Cognitive Sciences
Research Group:Psychology
Research Field:Forensic Psychology
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Psychology and Cognitive Sciences
Author:Sauer, J (Dr Jim Sauer)
ID Code:95944
Year Published:2012
Web of Science® Times Cited:7
Deposited By:Psychology
Deposited On:2014-10-13
Last Modified:2017-10-31
Downloads:0

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