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Evidence for view-invariant Face Recognition Units in unfamiliar face learning

Etchells, David B., Brooks, Joseph L., Johnston, Robert A. (2016) Evidence for view-invariant Face Recognition Units in unfamiliar face learning. Quarterly Journal of Experimental Psychology, 70 (5). pp. 874-889. ISSN 1747-0218. (doi:10.1080/17470218.2016.1248453) (KAR id:57760)

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Many models of face recognition incorporate the idea of a face recognition unit (FRU). This is an abstracted representation formed from each experience of a face. Longmore et al. (2008) devised a face learning experiment to investigate such a construct (i.e., view-invariance) but failed to find evidence of its existence. Three experiments developed Longmore et al.’s study further by using a different learning task, by employing more stimuli. One or two views of previously unfamiliar faces were shown to participants in a serial matching task (learning). Later, participants attempted to recognise both seen and novel views of the learned faces. Experiment one tested participants’ recognition of a novel view, a day after learning. Experiment two was identical, but tested participants on the same day as learning. And experiment three repeated experiment one, but tested participants on a novel view that was outside the rotation of those views learned. Results revealed a significant advantage for recognising a novel view when two views had been learned, rather than a single learned view – for all experiments. The effect of view-invariance found when both views were learned is discussed.

Item Type: Article
DOI/Identification number: 10.1080/17470218.2016.1248453
Uncontrolled keywords: face recognition, face perception, learning
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculties > Social Sciences > School of Psychology > Cognitive Psychology
Faculties > University wide - Teaching/Research Groups > Centre for Cognitive Neuroscience and Cognitive Systems
Depositing User: J. Brooks
Date Deposited: 06 Oct 2016 18:08 UTC
Last Modified: 19 Jul 2019 11:55 UTC
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