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

Perilesional neuromodulation replaces lost sensorimotor function in persons with spinal cord injury.

Nature biomedical engineering·2026
Same author

Better artificial intelligence does not mean better models of biology.

Trends in cognitive sciences·2025
Same author

From prediction to understanding: Will AI foundation models transform brain science?

Neuron·2025
Same author

Feature binding in biological and artificial vision.

Trends in cognitive sciences·2025
Same author

Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics.

ArXiv·2025
Same author

Can children and adults balance majority size with information quality in learning from preferences?

Journal of experimental psychology. General·2025
Same journal

Pronoun Resolution in Turkish: The Interplay of Referential Form, Word Order, and Implicit Causality.

Cognitive science·2026
Same journal

What's in a Color?: Language, Synesthesia, and Categorical Perception.

Cognitive science·2026
Same journal

Reasoning Beyond Explicit Rules: Adults' and Children's Use of Closure Principles in Novel Cases.

Cognitive science·2026
Same journal

Intermediary Object States Are Activated by Sentences Describing Completed Events.

Cognitive science·2026
Same journal

Large Language Models Estimate Fine-Grained Human Color-Concept Associations.

Cognitive science·2026
Same journal

Computational Models of Causal Reasoning: Bayesian Accounts of Normative Violations.

Cognitive science·2026
See all related articles

Related Experiment Video

Updated: Sep 18, 2025

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

10.8K

Evaluating Dogs' Real-World Visual Environment and Attention.

Madeline H Pelgrim1, Shreyas Sundara Raman1, Thomas Serre1

  • 1Department of Cognitive & Psychological Sciences, Brown University.

Cognitive Science
|June 23, 2025
PubMed
Summary
This summary is machine-generated.

This study used custom eye-tracking to see what dogs visually attend to during walks. Dogs looked most at buses, plants, people, pavement, and construction, revealing insights into canine visual perception.

Keywords:
Domestic dogEye‐trackingPreferential gazeVisual attentionVisual statistics

More Related Videos

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.0K
Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.2K

Related Experiment Videos

Last Updated: Sep 18, 2025

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

10.8K
Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.0K
Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.2K

Area of Science:

  • Canine ethology
  • Comparative cognition
  • Animal vision

Background:

  • Limited understanding of canine visual perception and attention.
  • Dogs share a unique evolutionary history with humans, yet their visual world remains largely unexplored.
  • Previous research on infant visual attention inspired this study's methodology.

Purpose of the Study:

  • To classify objects available for dogs to view during walks.
  • To analyze the statistical distribution of these objects and dogs' visual attention.
  • To understand how dogs direct their gaze in naturalistic environments.

Main Methods:

  • Development of a custom head-mounted eye-tracking apparatus for dogs.
  • Observation of 11 dogs during outdoor walks on a set route.
  • Analysis of 11,698 gazes using computer vision on image stills from eye-tracking data.

Main Results:

  • Dogs proportionally gazed most at buses, plants, people, pavement, and construction equipment.
  • Significant individual variations in visual attention patterns were observed.
  • Computer vision techniques identified objects, their spatial distribution, and gaze targets.

Conclusions:

  • This study provides foundational data on canine visual attention in real-world settings.
  • Findings open new research avenues into canine learning and decision-making processes.
  • Understanding canine visual behavior is crucial for their interaction with the physical and social world.