Core Concepts
This tutorial provides a comprehensive introduction to eye tracking technology, covering the basics of eye anatomy and physiology, eye-tracking techniques and systems, calibration methods, data collection procedures, and analysis of eye movement metrics. It aims to equip students and professionals with the necessary knowledge and practical skills to effectively conduct eye-tracking research and experiments.
Abstract
The tutorial begins by introducing the basics of eye anatomy and physiology, which form the foundation for understanding eye-tracking technology. It then provides an overview of different eye-tracking techniques and current types of eye-tracking systems, including remote and wearable eye trackers, highlighting their respective advantages and limitations.
The calibration process is discussed in detail, covering screen-based and wearable calibration methods, as well as techniques for addressing slippage issues. The authors emphasize the importance of proper calibration for ensuring the accuracy and reliability of eye-tracking data.
The tutorial then delves into the data collection process, covering the setup of the experimental environment, experiment design considerations, the importance of pilot studies, and the step-by-step experimental procedure. Aspects such as participant recruitment, informed consent, equipment preparation, and troubleshooting are also addressed.
The content also covers the eye-tracking data processing pipeline, including raw data cleanup, data segmentation, and feature extraction. The tutorial provides an in-depth exploration of basic eye movement metrics, such as fixations, saccades, smooth pursuits, and blinks, as well as techniques for analyzing pupillary information.
Visual scanpath analysis methods, including string alignment, geometrical, probabilistic, and deep learning approaches, are discussed to enable researchers to compare and interpret eye movement patterns. The tutorial also highlights best practices for visualizing eye-tracking data, such as saliency maps, scanpaths, and gaze plots.
Finally, the authors emphasize the importance of considering ethical aspects when conducting eye-tracking research, particularly informed consent and participant privacy.
Stats
"Eye-tracking technology is widely used in various application areas such as psychology, neuroscience, marketing, and human-computer interaction, as it is a valuable tool for understanding how people process information and interact with their environment."
"The sampling frequency of an eye-tracking system refers to how many times per second the eye tracker registers the position of the eyes, which is measured in Hertz (Hz)."
"Accuracy in eye-tracking is the deviation between the actual gaze position and the gazed position recorded by the eye tracker, i.e., how closely the recorded eye-tracking data matches the actual eye-tracking data."
"Precision refers to the measure of variation in the recorded data. It measures the variability in tracking the same eye movement multiple times under the same conditions, which is calculated using the Root Mean Square (RMS) of the sampled points."
Quotes
"Eye-tracking technology is widely used in various application areas such as psychology, neuroscience, marketing, and human-computer interaction, as it is a valuable tool for understanding how people process information and interact with their environment."
"The sampling frequency of an eye-tracking system refers to how many times per second the eye tracker registers the position of the eyes, which is measured in Hertz (Hz)."
"Accuracy in eye-tracking is the deviation between the actual gaze position and the gazed position recorded by the eye tracker, i.e., how closely the recorded eye-tracking data matches the actual eye-tracking data."
"Precision refers to the measure of variation in the recorded data. It measures the variability in tracking the same eye movement multiple times under the same conditions, which is calculated using the Root Mean Square (RMS) of the sampled points."