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

You might also read

Related Articles

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

Sort by
Same author

Is AI making us stupid?

Trends in cognitive sciences·2026
Same author

The effect of face masks on the perception of trustworthiness and competence in individuals with autistic traits.

Perception·2026
Same author

Comparative Designs Reveal Preferences for Human-Generated Rather Than AI-Generated art.

Empirical studies of the arts·2026
Same author

Autistic Traits and Mind Wandering: A Correlational Study of Themes, Intentionality, and Temporal Focus.

Psychological reports·2026
Same author

The Impact of Face Masks on Social Perception Is Age-Dependent.

Psychological reports·2026
Same author

Sit, stand, and swivel: Posture affects visual exploration of panoramic scenes in virtual reality.

PloS one·2025

Related Experiment Video

Updated: Jun 3, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Exploiting human sensitivity to gaze for tracking the eyes.

Nicola C Anderson1, Evan F Risko, Alan Kingstone

  • 1Department of Psychology, University of British Columbia, 2136 West Mall, Vancouver, BC, Canada V6T 1Z4. nccanderson@psych.ubc.ca

Behavior Research Methods
|April 5, 2011
PubMed
Summary
This summary is machine-generated.

Web cameras can accurately detect eye movements for research. This cost-effective method improves upon traditional eye tracking, offering reliable data for various visual studies.

More Related Videos

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Related Experiment Videos

Last Updated: Jun 3, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Vision Science

Background:

  • Web cameras are widely available, high-quality, and inexpensive.
  • Human sensitivity to gaze direction is well-established.
  • Traditional eye-tracking methods can be costly and complex.

Purpose of the Study:

  • To evaluate the accuracy of eye tracking using only a standard web camera.
  • To determine if observers can detect and discriminate eye movements recorded by web cameras.
  • To assess the impact of saccade size and direction on detection accuracy.

Main Methods:

  • Participants viewed web camera recordings of eye movements (1°, 2°, 3° visual angle) in eight directions or no movement.
  • Observers judged the presence and direction of eye movements.
  • Data analysis focused on detection and discrimination accuracy.

Main Results:

  • Observers detected and discriminated eye movements significantly better than chance across all saccade sizes and directions.
  • Larger saccades (3°) resulted in higher accuracy, with detection and direction judgment exceeding 90%.
  • The method proved reliable for detecting subtle eye movements.

Conclusions:

  • Web camera-based eye tracking is a simple, reliable, and cost-effective research tool.
  • This methodology is suitable for studies requiring central fixation (covert attention) and those involving eye movements (visual search).
  • It offers a practical alternative for researchers in vision science and cognitive psychology.