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

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

1.7K
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
1.7K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

313
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
313
Modeling in Therapy01:26

Modeling in Therapy

677
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
677
Learning Disabilities01:25

Learning Disabilities

730
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
730
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

You might also read

Related Articles

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

Sort by
Same author

Mirizzi syndrome masquerading as gallbladder carcinoma: a case report on diagnostic challenges and multidisciplinary management.

Frontiers in medicine·2025
Same author

Metabolic control of glycosylation forms for establishing glycan-dependent protein interaction networks.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Dual-Luciferase Reporter Assay to Investigate Virus-Host Interactions.

Methods in molecular biology (Clifton, N.J.)·2025
Same author

Antibody-Directed Cell Internalization of Targeted Covalent Europium Tag Enables In Situ Kinase Labeling and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) Quantification.

Analytical chemistry·2025
Same author

Virus-like Nanoparticles Deliver Small Interfering RNA to Pancreatic Cancer Cells through Filopodia-Mediated Internalization.

ACS nano·2025
Same author

Development of In Vitro Potency Methods to Replace In Vivo Tests for Enterovirus 71 Inactivated Vaccine (Human Diploid Cell-Based/Vero Cell-Based).

Vaccines·2025

Related Experiment Video

Updated: Mar 23, 2026

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
08:31

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

Published on: July 31, 2016

14.7K

Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning

Wenbo Liu1,2, Ming Li3, Li Yi4

  • 1From the Sun Yat-sen University Carnegie Mellon University Joint Institute of Engineering, Sun Yat-sen University, Guangzhou Higher Education Mega Center, Guangzhou, China.

Autism Research : Official Journal of the International Society for Autism Research
|April 3, 2016
PubMed
Summary

Machine learning accurately identifies Autism Spectrum Disorder (ASD) in children using atypical face scanning patterns. This eye-tracking method shows promise for early ASD detection and diagnosis.

Keywords:
autism spectrum disordereye trackingface processingmachine learning

More Related Videos

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
05:32

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos

Published on: December 7, 2018

9.9K
Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

46.7K

Related Experiment Videos

Last Updated: Mar 23, 2026

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
08:31

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

Published on: July 31, 2016

14.7K
Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
05:32

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos

Published on: December 7, 2018

9.9K
Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

46.7K

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Computational Psychiatry

Background:

  • Autism Spectrum Disorder (ASD) is characterized by atypical social interaction and communication.
  • Previous research consistently identifies distinct face scanning patterns in individuals with ASD.

Purpose of the Study:

  • To investigate the utility of machine learning algorithms in classifying children with and without ASD based on their face scanning patterns.
  • To evaluate the diagnostic potential of eye movement data in identifying ASD in children.

Main Methods:

  • Applied machine learning algorithms to analyze eye movement data from a face recognition task.
  • Utilized a dataset from a study by Yi et al. (2016) involving children with and without ASD.
  • Assessed classification performance using accuracy, sensitivity, and specificity metrics.

Main Results:

  • The machine learning model achieved a maximum classification accuracy of 88.51% in identifying children with ASD.
  • Results provide promising evidence for the effectiveness of using face scanning patterns for ASD classification.
  • The study highlights the potential of eye-tracking data in ASD identification.

Conclusions:

  • Face scanning patterns analyzed by machine learning offer a promising avenue for identifying children with ASD.
  • While preliminary, the findings support the development of data-driven tools for early ASD detection.
  • Future research should focus on further validation and the development of multitask, multimodal approaches for ASD diagnosis.