Andrews, Sally, Jenkins, Rob orcid.org/0000-0003-4793-0435, Cursiter, Heather et al. (1 more author) (2015) Telling faces together:Learning new faces through exposure to multiple instances. The Quarterly Journal of Experimental Psychology. pp. 2041-2050. ISSN 1747-0226
Abstract
We are usually able to recognize novel instances of familiar faces with little difficulty, yet recognition of unfamiliar faces can be dramatically impaired by natural within-person variability in appearance. In a card-sorting task for facial identity, different photos of the same unfamiliar face are often seen as different people. Here we report two card-sorting experiments in which we manipulate whether participants know the number of identities present. Without constraints, participants sort faces into many identities. However, when told the number of identities present, they are highly accurate. This minimal contextual information appears to support viewers in “telling faces together”. In Experiment 2 we show that exposure to within-person variability in the sorting task improves performance in a subsequent face-matching task. This appears to offer a fast route to learning generalizable representations of new faces.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Experimental Psychology Society. This is an author produced version of a paper published in The Quarterly Journal of Experimental Psychology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Face learning,Face perception,Face recognition,Identity,Stable representations |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) The University of York |
Depositing User: | Pure (York) |
Date Deposited: | 28 Sep 2015 08:37 |
Last Modified: | 28 Oct 2024 00:54 |
Published Version: | https://doi.org/10.1080/17470218.2014.1003949 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1080/17470218.2014.1003949 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90030 |