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

Association Areas of the Cortex01:21

Association Areas of the Cortex

8.8K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
8.8K
Prosopagnosia01:24

Prosopagnosia

679
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...
679

You might also read

Related Articles

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

Sort by
Same author

Typical Perceptual Sensitivity to Changes in Interpersonal Distance in Developmental Prosopagnosia.

Journal of cognitive neuroscience·2025
Same author

To what extent is research on infrahumanization confounded by intergroup preference?

Royal Society open science·2025
Same author

Understanding the influence of online misogyny in schools from the perspective of teachers.

PloS one·2025
Same author

Editorial Perspective: What do we need to know about the manosphere and young people's mental health?

Child and adolescent mental health·2025
Same author

Perceptual Expertise of Forensic Examiners and Reviewers on Tests of Cross-Race and Disguised Face Identification and Face Memory.

Applied cognitive psychology·2024
Same author

Perceptual sensitivity to changes in interpersonal distance when observing social interactions: The effects of dyad arrangement and orientation.

Quarterly journal of experimental psychology (2006)·2024

Related Experiment Video

Updated: Jan 11, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

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

Katie L H Gray1, Josh P Davis2, Carl Bunce1

  • 1School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.

Royal Society Open Science
|November 14, 2025
PubMed
Summary

Super-recognizers (SRs) outperform typical individuals in detecting synthetic faces generated by Generative Adversarial Networks (GANs). A simple training program significantly improved detection accuracy for both SRs and controls.

Keywords:
AI-generated facessuper-recognizerssynthetic facestraining

More Related Videos

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.2K
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

17.9K

Related Experiment Videos

Last Updated: Jan 11, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K
Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.2K
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

17.9K

Area of Science:

  • Computer Vision
  • Psychology
  • Artificial Intelligence

Background:

  • Generative Adversarial Networks (GANs) produce highly realistic synthetic faces, posing challenges for detection.
  • Existing training programs for synthetic face detection show mixed results.

Purpose of the Study:

  • To investigate synthetic face detection and discrimination abilities in super-recognizers (SRs) compared to typical controls.
  • To evaluate the effectiveness of a training procedure designed to highlight rendering artifacts.

Main Methods:

  • Two experimental designs were used with a total of 283 SRs and 381 control participants.
  • Participants performed synthetic face detection and discrimination tasks, with and without a specific training intervention.

Main Results:

  • SRs demonstrated superior performance in detecting and discriminating synthetic faces compared to control participants.
  • Control participants performed below chance without training, but improved significantly after training.
  • Training enhanced performance in both SRs and controls, with a similar magnitude of improvement across groups.

Conclusions:

  • SRs appear to utilize cues beyond rendering artifacts for synthetic face detection.
  • A straightforward training procedure can significantly boost synthetic face detection accuracy in both SRs and typical individuals.
  • Trained SRs offer potential for real-world applications in synthetic media forensics.