Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Capturing specific abilities as a window into human individuality: The example of face recognition

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

Thumbnail Image
Download
Name

Wilmer_2012-Capturing specific abilities.pdf

Size

3.13 MB

Format

Adobe PDF

Checksum (MD5)

88ed01ced2967d30726a162eb3eefca1

Author(s)
Wilmer, Jeremy B.
•
Germine, Laura
•
Chabris, Christopher F.
•
Chatterjee, Garga
•
Gerbasi, Margaret
•
Nakayama, Ken
Date Issued
February 2013
Journal
Cognitive Neuropsychology
Publisher
Taylor & Francis
Citation
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
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
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.
Persistent DSpace Link
http://hdl.handle.net/1721.1/82668
DOI of Published Version
https://doi.org/10.1080/02643294.2012.753433
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.