Gaze Recording
Gaze Recording - Related Videos
13:40
Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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Cited by 12 •
2010
Procedures for recording high-density EEG and gaze data during computer game-based cognitive tasks are described. Using a video game to present cognitive tasks enhances ecological validity without sacrificing experimental control.
07:12
A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
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Cited by 1 •
2025
We present development of a gaze-contingent display framework designed for perceptual and oculomotor research simulating central vision loss. This framework is particularly adaptable for studying compensatory behavioral and oculomotor strategies in individuals experiencing both simulated and pathological central vision loss.
16:01
Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
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Cited by 29 •
2011
A robust way to study neuronal avalanches, i.e. scale-invariant spatio-temporal activity bursts, indicative of critical state dynamics in cortex. Avalanches emerge spontaneously in developing superficial layers of cultured cortex which allows for long-term measurements of the activity with planar integrated multi-electrode arrays (MEA) under precisely controlled conditions.
03:26
Electroencephalography-Based Recording Technique to Record the Epileptiform Activity
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2025
This video describes the technique for recording the epileptiform activity of rhinal cortex-hippocampus organotypic slices ex vivo using electrophysiology or EEG set-up. This helps to study the dynamics and progression of epileptogenesis and screen potential therapeutic targets to treat epilepsy.
07:09
Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
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Cited by 36 •
2018
Young children do not passively observe the world, but rather actively explore and engage with their environment. This protocol provides guiding principles and practical recommendations for using head-mounted eye trackers to record infants' and toddlers' dynamic visual environments and visual attention in the context of natural behavior.
FAQs
The system compares the pupil with the reflection from the cornea to estimate gaze direction. Their spatial relationship supplies the signal used to connect eye position with a location on a display or visual scene. Because this relationship underlies the mapping, calibration is important before interpreting recorded gaze as behavioral evidence.
Fixations, saccades, dwell time, and scan paths provide complementary summaries of looking during viewing. Together, these measures describe where attention is directed, how gaze shifts, how long viewing persists, and the sequence of observed locations. Researchers use these patterns to examine attention, perception, decision-making, and responses to social or environmental cues.
Calibration aligns the recorded eye features with positions in the viewed display or scene, while controlled viewing conditions help improve measurement consistency. These steps matter because the system relies on the calculated relationship between pupil position, corneal reflection, and gaze direction. Better alignment and consistency support more accurate comparisons of attention and behavior.
A typical workflow establishes controlled viewing conditions and calibrates the eye-tracking system before recording. Cameras detect the pupil and corneal reflection while the participant views a display or scene. The system then calculates gaze direction, maps it to the viewed content, and summarizes the record with measures such as fixations, saccades, dwell time, or scan paths.
Researchers select gaze recording when they need an objective behavioral measure of visual attention during tasks involving perception, decision-making, or responses to social and environmental cues. The technique also supports studies of cognition, human-computer interaction, education, and clinical behavior. Its value comes from connecting what participants view with quantifiable patterns of looking.
In behavior research, gaze data can show how visual attention changes across a task or in response to environmental content. Researchers can use these measurements to study cognitive processes, interactions with interfaces, learning-related behavior, or clinically relevant behavior. Interpretation depends on the selected gaze measures and the quality of calibration and viewing control, which affect measurement accuracy.