Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Association Areas of the Cortex

Association Areas of the Cortex

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,...

Prosopagnosia

Prosopagnosia

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...

Eyewitness Memory

Eyewitness Memory

Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
One such error is memory distortion, which occurs because human memory does not function like a...

Facial Feedback Hypothesis

Facial Feedback Hypothesis

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 of...

You might also read

Related Articles

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

Sort by

Same author

Beyond traditional tests: Assessing face recognition in mild cognitive impairment.

The Clinical neuropsychologist·2026

Same author

Both emotional and neutral contexts increase feeling of knowing judgments despite poorer memory.

Memory (Hove, England)·2025

Same author

Examining disgust learning through category conditioning: Evidence from trial-unique presentations and oculomotor avoidance.

Learning & behavior·2025

Same author

The impact of disgust learning on memory processes for neutral stimuli: a classical conditioning approach.

Cognition & emotion·2024

Same author

Disgust as a basic, sexual, and moral emotion.

Cognitive processing·2024

Same author

Does misremembering drive false alarms for emotional lures? A diffusion model investigation.

Quarterly journal of experimental psychology (2006)·2022

Search research articles

Related Experiment Video

Updated: Jun 5, 2026

Eye Movement Monitoring of Memory

Eye Movement Monitoring of Memory

Published on: August 15, 2010

EGEFACE: A new face memory test with static and dynamic images.

Sonia Amado¹, Murat C Karataş^2,3, Elif Yüvrük⁴

¹Department of Psychology, Ege University, İzmir, Türkiye.

Behavior Research Methods

|January 21, 2025

Summary

A new face memory test (EGEFACE) was developed using static and dynamic stimuli for greater real-world accuracy. This reliable test effectively measures face recognition across a wide spectrum of abilities, from super recognizers to those with prosopagnosia.

Keywords:

Ege face memory test Face memory test Individual differences Unfamiliar face recognition

More Related Videos

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

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

Published on: December 24, 2015

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

Published on: October 13, 2016

Related Experiment Videos

Last Updated: Jun 5, 2026

Eye Movement Monitoring of Memory

Eye Movement Monitoring of Memory

Published on: August 15, 2010

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

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

Published on: December 24, 2015

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

Published on: October 13, 2016

Area of Science:

Cognitive Psychology
Neuroscience
Psychometrics

Background:

Face memory is vital for social interaction.
Significant individual differences exist in face recognition ability.
Existing face memory tests have limitations in ecological validity and difficulty adjustment.

Purpose of the Study:

Develop a novel face memory test (EGEFACE) to overcome existing limitations.
Enhance ecological validity using static and dynamic stimuli.
Accurately assess face memory across the full spectrum of ability, including super recognizers and individuals with prosopagnosia.

Main Methods:

Created a new database of static and dynamic faces.
Utilized a face recognition algorithm to establish three difficulty levels.
Incorporated target-absent and target-present trials with ROC analysis to measure accuracy independently of response bias.
Collected data from 703 participants and performed reliability analyses (internal consistency, split-half reliability, item-total correlations).

Main Results:

The EGEFACE demonstrated high reliability for both target-absent and target-present trials.
High performers on EGEFACE approached super recognizer levels on the CFMT+.
Low performers on EGEFACE showed minimal overlap with prosopagnosic-level performance on the CFMT+, indicating sensitivity across ability ranges.
A moderate positive correlation was found between EGEFACE and CFMT+, suggesting shared cognitive skills.
A low to moderate correlation with KFMT indicated that EGEFACE measures distinct, though related, cognitive abilities compared to face perception.

Conclusions:

The EGEFACE is a reliable and sensitive tool for assessing face memory.
It offers improved ecological validity through the use of dynamic and static stimuli.
EGEFACE shows promise as an effective alternative for measuring individual differences in face recognition ability.