Ritchie, Kay Laird and Burton, A. Mike orcid.org/0000-0002-2035-2084 (2017) Learning faces from variability. The Quarterly Journal of Experimental Psychology. pp. 897-905. ISSN 1747-0226
Abstract
Research on face learning has tended to use sets of images that vary systematically on dimensions such as pose and illumination. In contrast, we have proposed that exposure to naturally varying images of a person may be a critical part of the familiarization process. Here, we present two experiments investigating face learning with “ambient images”—relatively unconstrained photos taken from internet searches. Participants learned name and face associations for unfamiliar identities presented in high or low within-person variability—that is, images of the same person returned by internet search on their name (high variability) versus different images of the same person taken from the same event (low variability). In Experiment 1 we show more accurate performance on a speeded name verification task for identities learned in high than in low variability, when the test images are completely novel photos. In Experiment 2 we show more accurate performance on a face matching task for identities previously learned in high than in low variability. The results show that exposure to a large range of within-person variability leads to enhanced learning of new identities.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Experimental Psychology Society 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION 20120411 ECONOMIC AND SOCIAL RESEARCH COUNCIL (ESRC) ES/J022950/2 |
Depositing User: | Pure (York) |
Date Deposited: | 10 Mar 2016 14:07 |
Last Modified: | 28 Feb 2025 00:04 |
Published Version: | https://doi.org/10.1080/17470218.2015.1136656 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1080/17470218.2015.1136656 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:96187 |