Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Prosopagnosia01:24

Prosopagnosia

165
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
165

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Contextual cues do not facilitate spontaneous face recognition.

British journal of psychology (London, England : 1953)·2026
Same author

Training human super-recognizers' detection and discrimination of AI-generated faces.

Royal Society open science·2025
Same author

The psychometrics of rating facial attractiveness using different response scales.

Perception·2024
Same author

Face masks and fake masks: the effect of real and superimposed masks on face matching with super-recognisers, typical observers, and algorithms.

Cognitive research: principles and implications·2024
Same author

Not the norm: Face likeness is not the same as similarity to familiar face prototypes.

i-Perception·2023
Same author

Unfamiliar face matching ability predicts the slope of face learning.

Scientific reports·2023

Related Experiment Video

Updated: Jul 1, 2025

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.1K

Multiple images captured from a single encounter do not promote face learning.

Claire M Matthews1,2, Kay L Ritchie3, Sarah Laurence4

  • 1Brock University, Canada.

Perception
|March 8, 2024
PubMed
Summary
This summary is machine-generated.

Learning to recognize new faces requires viewing images with high-variability (HV) in appearance. Low-variability (LV) images, showing only minor changes, did not improve face recognition generalization.

Keywords:
cognitive mechanismsface learningface perceptionface recognitionperceptual expertise

More Related Videos

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.3K
Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach
08:24

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Published on: May 15, 2016

8.5K

Related Experiment Videos

Last Updated: Jul 1, 2025

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.1K
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.3K
Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach
08:24

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Published on: May 15, 2016

8.5K

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computer Vision

Background:

  • Effective face recognition is crucial for social interaction.
  • Previous research indicates that exposure to multiple, varied images enhances facial identity learning.
  • The role of appearance variability in acquiring novel face expertise is not fully understood.

Purpose of the Study:

  • To investigate whether low-variability (LV) images promote generalization of face learning.
  • To compare the effects of high-variability (HV) and LV images on novel face recognition.
  • To determine the necessity of day-to-day appearance changes for robust face expertise.

Main Methods:

  • Participants were trained with a single image, six LV images, or six HV images of a target face.
  • Recognition was tested using either a face matching task or a memory task.
  • Experiments involved 71 and 73 participants, respectively, assessing identity sensitivity and response bias.

Main Results:

  • High-variability (HV) image exposure significantly improved face recognition sensitivity and reduced response conservatism compared to a single image.
  • No evidence of learning generalization was found in the low-variability (LV) condition, irrespective of the testing method.
  • The benefits of HV training were observed in both face matching and memory recall tasks.

Conclusions:

  • Day-to-day variations in facial appearance are essential for developing expertise with novel faces.
  • Low-variability (LV) training does not support the generalization of face recognition to new instances.
  • Future research should explore the specific features within HV images that drive robust face learning.