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

10.5K
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,...
10.5K
Prosopagnosia01:24

Prosopagnosia

1.1K
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...
1.1K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

851
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
851
Muscles for Facial Expressions01:14

Muscles for Facial Expressions

5.6K
The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
5.6K
Stereotype Content Model02:16

Stereotype Content Model

15.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.7K

You might also read

Related Articles

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

Sort by
Same author

Introducing the Naturalistic Expression Labeling Task (NELT): Associations with posed expression labeling, empathy, and general cognitive ability.

Behavior research methods·2026
Same author

The effect of interpersonal distance and background context on trait impressions.

Acta psychologica·2026
Same author

Digital Pain Assessment: Patient and Family Perspectives.

Nursing reports (Pavia, Italy)·2026
Same author

The Joint Attention Grouping Effect: Perceptual Binding of Observed Social Interactions.

Quarterly journal of experimental psychology (2006)·2025
Same author

Observer and stimulus factors jointly shape perceptual similarity of static and dynamic facial emotions.

Cognition & emotion·2025
Same author

The effect of emotional expression on age estimates is modulated by face age and participant age.

BMC psychology·2025
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Mar 30, 2026

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

14.7K

How Well Do Computer-Generated Faces Tap Face Expertise?

Kate Crookes1, Louise Ewing1,2, Ju-Dith Gildenhuys1

  • 1ARC Centre of Excellence in Cognition and its Disorders, School of Psychology, University of Western Australia, Perth, Australia.

Plos One
|November 5, 2015
PubMed
Summary
This summary is machine-generated.

Computer-generated faces show reduced accuracy for own-race recognition and attenuate the other-race effect (ORE) compared to real faces. This suggests computer-generated stimuli do not fully engage face identity expertise.

More Related Videos

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

14.0K
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

18.1K

Related Experiment Videos

Last Updated: Mar 30, 2026

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

14.7K
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

14.0K
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

18.1K

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computer Vision

Background:

  • Computer-generated (CG) faces are increasingly used in research for their ease of manipulation.
  • Limited research exists on whether CG faces are processed identically to real faces.

Purpose of the Study:

  • To investigate if CG faces engage face identity expertise as effectively as real face photographs.
  • To assess if accuracy in recognizing own-race faces and the other-race effect (ORE) are diminished with CG stimuli.

Main Methods:

  • Experiment 1: Recognition memory task comparing real and CG faces (own- and other-race) for Caucasian and Asian participants.
  • Experiment 2: Perceptual discrimination task with similar stimuli and participant groups.

Main Results:

  • Experiment 1 showed significantly reduced accuracy for own-race CG faces and an attenuated ORE.
  • Experiment 2 found reduced accuracy for own-race CG faces, but the ORE was unaffected by face format.

Conclusions:

  • CG faces, as tested, do not fully elicit face identity expertise compared to real photographs.
  • Caution is advised when interpreting findings from studies using current CG face stimuli.