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Exemplar Variance Supports Robust Learning of Facial Identity

Overview of attention for article published in Journal of Experimental Psychology. Human Perception & Performance, June 2015
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Article details
Title
Exemplar Variance Supports Robust Learning of Facial Identity
Published in
Journal of Experimental Psychology. Human Perception & Performance, June 2015
DOI 10.1037/xhp0000049
Pubmed ID
Authors
Abstract

Differences in the visual processing of familiar and unfamiliar faces have prompted considerable interest in face learning, the process by which unfamiliar faces become familiar. Previous work indicates that face learning is determined in part by exposure duration; unsurprisingly, viewing faces for longer affords superior performance on subsequent recognition tests. However, there has been further speculation that exemplar variation, experience of different exemplars of the same facial identity, contributes to face learning independently of viewing time. Several leading accounts of face learning, including the averaging and pictorial coding models, predict an exemplar variation advantage. Nevertheless, the exemplar variation hypothesis currently lacks empirical support. The present study therefore sought to test this prediction by comparing the effects of unique exemplar face learning-a condition rich in exemplar variation-and repeated exemplar face learning-a condition that equates viewing time, but constrains exemplar variation. Crucially, observers who received unique exemplar learning displayed better recognition of novel exemplars of the learned identities at test, than observers in the repeated exemplar condition. These results have important theoretical and substantive implications for models of face learning and for approaches to face training in applied contexts. (PsycINFO Database Record

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 3 3%
United States 1 1%
Unknown 90 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 30%
Student > Master 10 11%
Student > Bachelor 9 10%
Researcher 8 9%
Professor 7 7%
Other 18 19%
Unknown 14 15%
Readers by discipline
Readers by discipline Count As %
Psychology 62 66%
Neuroscience 4 4%
Arts and Humanities 1 1%
Business, Management and Accounting 1 1%
Agricultural and Biological Sciences 1 1%
Other 3 3%
Unknown 22 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 September 2016.
All research outputs
#24,751,637
of 34,357,314 outputs
Outputs from Journal of Experimental Psychology. Human Perception & Performance
#1,194
of 3,176 outputs
Outputs of similar age
#206,456
of 307,948 outputs
Outputs of similar age from Journal of Experimental Psychology. Human Perception & Performance
#7
of 12 outputs
Altmetric has tracked 34,357,314 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,176 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.