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

Should medical teachers spend more time modelling or coaching students? A dual eye-tracking and randomised controlled study on peer instruction in sonography.

Medical education·2025
Same author

Looking at Social Interactions in Medical Education with Dual Eye-Tracking Technology: A Scoping Review.

MedEdPublish (2016)·2025
Same author

How Augmented Reality (AR) Can Help and Hinder Collaborative Learning: A Study of AR in Electromagnetism Education.

IEEE transactions on visualization and computer graphics·2022
Same author

Augmenting Social Science Research with Multimodal Data Collection: The EZ-MMLA Toolkit.

Sensors (Basel, Switzerland)·2022
Same author

How Can High-Frequency Sensors Capture Collaboration? A Review of the Empirical Links between Multimodal Metrics and Collaborative Constructs.

Sensors (Basel, Switzerland)·2021

Related Experiment Video

Updated: Dec 29, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers.

Bertrand Schneider1

  • 1Learning, Innovation, and Technology Lab, Graduate School of Education, Harvard University; bertrand_schneider@g.harvard.edu.

Journal of Visualized Experiments : Jove
|February 4, 2020
PubMed
Summary

New technology enables precise study of social interactions using high-frequency sensors. This research details a method using multiple eye-trackers to capture joint visual attention (JVA) for deeper understanding of group dynamics.

More Related Videos

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
07:24

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

401
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

1.1K

Related Experiment Videos

Last Updated: Dec 29, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K
Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
07:24

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

401
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

1.1K

Area of Science:

  • Social Sciences
  • Psychology
  • Human-Computer Interaction

Background:

  • Technological advancements allow for microlevel analysis of social interactions with high-frequency sensors.
  • Sensors like eye-trackers, electrodermal activity wristbands, EEG bands, and motion sensors provide millisecond-level data.
  • This precision facilitates the collection of large datasets crucial for understanding complex social dynamics.

Purpose of the Study:

  • To present a methodology for capturing joint visual attention (JVA) in colocated settings using mobile eye-trackers.
  • To explore the application of microobservation data in social science research.
  • To demonstrate the utility of eye-tracking technology in studying nuanced social interactions.

Main Methods:

  • Utilizing multiple mobile eye-trackers to record gaze data from individuals in a shared environment.
  • Implementing a data collection protocol designed for capturing synchronized, high-resolution visual attention patterns.
  • Analyzing millisecond-level data to identify instances and characteristics of joint visual attention.

Main Results:

  • Demonstrated the feasibility of capturing joint visual attention (JVA) using a multi-eye-tracker system.
  • Presented empirical data showcasing the micro-level dynamics of JVA in small group settings.
  • Highlighted the potential for detailed analysis of social interaction patterns.

Conclusions:

  • Microobservations derived from high-frequency sensors, particularly eye-tracking, offer significant insights into social interactions.
  • The described methodology provides a robust approach for studying joint visual attention (JVA) in naturalistic settings.
  • This research opens avenues for enhanced understanding in developmental psychology, learning sciences, and social sciences.