Capturing specific abilities as a window into human individuality: The example of face recognition

Proper characterization of each individual's unique pattern of strengths and weaknesses requires good measures of diverse abilities. Here, we advocate combining our growing understanding of neural and cognitive mechanisms with modern psychometric methods in a renewed effort to capture human ind...

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Main Authors: Wilmer, Jeremy B., Germine, Laura, Chabris, Christopher F., Chatterjee, Garga, Gerbasi, Margaret, Nakayama, Ken
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: Taylor & Francis 2013
Online Access:http://hdl.handle.net/1721.1/82668
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author Wilmer, Jeremy B.
Germine, Laura
Chabris, Christopher F.
Chatterjee, Garga
Gerbasi, Margaret
Nakayama, Ken
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Wilmer, Jeremy B.
Germine, Laura
Chabris, Christopher F.
Chatterjee, Garga
Gerbasi, Margaret
Nakayama, Ken
author_sort Wilmer, Jeremy B.
collection MIT
description Proper characterization of each individual's unique pattern of strengths and weaknesses requires good measures of diverse abilities. Here, we advocate combining our growing understanding of neural and cognitive mechanisms with modern psychometric methods in a renewed effort to capture human individuality through a consideration of specific abilities. We articulate five criteria for the isolation and measurement of specific abilities, then apply these criteria to face recognition. We cleanly dissociate face recognition from more general visual and verbal recognition. This dissociation stretches across ability as well as disability, suggesting that specific developmental face recognition deficits are a special case of a broader specificity that spans the entire spectrum of human face recognition performance. Item-by-item results from 1,471 web-tested participants, included as supplementary information, fuel item analyses, validation, norming, and item response theory (IRT) analyses of our three tests: (a) the widely used Cambridge Face Memory Test (CFMT); (b) an Abstract Art Memory Test (AAMT), and (c) a Verbal Paired-Associates Memory Test (VPMT). The availability of this data set provides a solid foundation for interpreting future scores on these tests. We argue that the allied fields of experimental psychology, cognitive neuroscience, and vision science could fuel the discovery of additional specific abilities to add to face recognition, thereby providing new perspectives on human individuality.
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spelling mit-1721.1/826682022-09-30T10:49:03Z Capturing specific abilities as a window into human individuality: The example of face recognition Wilmer, Jeremy B. Germine, Laura Chabris, Christopher F. Chatterjee, Garga Gerbasi, Margaret Nakayama, Ken Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Chatterjee, Garga Proper characterization of each individual's unique pattern of strengths and weaknesses requires good measures of diverse abilities. Here, we advocate combining our growing understanding of neural and cognitive mechanisms with modern psychometric methods in a renewed effort to capture human individuality through a consideration of specific abilities. We articulate five criteria for the isolation and measurement of specific abilities, then apply these criteria to face recognition. We cleanly dissociate face recognition from more general visual and verbal recognition. This dissociation stretches across ability as well as disability, suggesting that specific developmental face recognition deficits are a special case of a broader specificity that spans the entire spectrum of human face recognition performance. Item-by-item results from 1,471 web-tested participants, included as supplementary information, fuel item analyses, validation, norming, and item response theory (IRT) analyses of our three tests: (a) the widely used Cambridge Face Memory Test (CFMT); (b) an Abstract Art Memory Test (AAMT), and (c) a Verbal Paired-Associates Memory Test (VPMT). The availability of this data set provides a solid foundation for interpreting future scores on these tests. We argue that the allied fields of experimental psychology, cognitive neuroscience, and vision science could fuel the discovery of additional specific abilities to add to face recognition, thereby providing new perspectives on human individuality. 2013-12-06T18:00:04Z 2013-12-06T18:00:04Z 2013-02 Article http://purl.org/eprint/type/JournalArticle 0264-3294 1464-0627 http://hdl.handle.net/1721.1/82668 Wilmer, Jeremy B., Laura Germine, Christopher F. Chabris, Garga Chatterjee, Margaret Gerbasi, and Ken Nakayama. “Capturing specific abilities as a window into human individuality: The example of face recognition.” Cognitive Neuropsychology 29, no. 5 6 (September 2012): 360-392. © 2012 Psychology Press, an imprint of the Taylor & Francis Group, an Informa business en_US http://dx.doi.org/10.1080/02643294.2012.753433 Cognitive Neuropsychology Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Taylor & Francis PMC
spellingShingle Wilmer, Jeremy B.
Germine, Laura
Chabris, Christopher F.
Chatterjee, Garga
Gerbasi, Margaret
Nakayama, Ken
Capturing specific abilities as a window into human individuality: The example of face recognition
title Capturing specific abilities as a window into human individuality: The example of face recognition
title_full Capturing specific abilities as a window into human individuality: The example of face recognition
title_fullStr Capturing specific abilities as a window into human individuality: The example of face recognition
title_full_unstemmed Capturing specific abilities as a window into human individuality: The example of face recognition
title_short Capturing specific abilities as a window into human individuality: The example of face recognition
title_sort capturing specific abilities as a window into human individuality the example of face recognition
url http://hdl.handle.net/1721.1/82668
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