Training perceptual experts: feedback, labels, and contrasts

Searston, Rachel A. and Tangen, Jason M. (2017) Training perceptual experts: feedback, labels, and contrasts. Canadian Journal of Experimental Psychology, 71 1: 32-39. doi:10.1037/cep0000124

Author Searston, Rachel A.
Tangen, Jason M.
Title Training perceptual experts: feedback, labels, and contrasts
Journal name Canadian Journal of Experimental Psychology   Check publisher's open access policy
ISSN 1196-1961
Publication date 2017-03-01
Sub-type Article (original research)
DOI 10.1037/cep0000124
Open Access Status Not yet assessed
Volume 71
Issue 1
Start page 32
End page 39
Total pages 8
Place of publication Washington, DC, United States
Publisher American Psychological Association
Language eng
Abstract Are strategies for learning in education effective for learning in applied visual domains, such as fingerprint identification? We compare the effect of practice with immediate corrective feedback (feedback training), generating labels for features of matching and mismatching fingerprints (labels training), and contrasting matching and mismatching fingerprints (contrast training). We benchmark these strategies against a baseline of regular practice discriminating fingerprints. We found that all 3 training protocols-feedback, labels, and contrasts-resulted in a significantly greater ability to discriminate new pairs of prints (independent of response bias) than the baseline training protocol. We also found that feedback and labels training produced significantly lower rates of bias (i.e., learners in these groups were less likely to overcall matches) compared with baseline training. Our results demonstrate 3 different ways to boost expertise with matching prints, and have direct application to training perceptual expertise.
Keyword Categorisation
Forensic science
Perceptual expertise
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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School of Psychology Publications
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