Eye Tracking applications within research and industry
Academic Research
In academic research, eye tracking is applied both in laboratory settings and real-world environments to study the behavioral, cognitive, and affective processes that guide human attention, learning, and memory. It provides insights into why and how people move their eyes and how visual information is perceived and processed.
Education and learning Sciences
In the learning sciences, eye tracking is used to analyze gaze and eye movement patterns to better understand students’ cognitive, social, and emotional skills. It also enables researchers to assess the effectiveness of educational methods and interventions, providing data to improve teaching strategies and learning outcomes.
Market Research and User Experience
In marketing and user experience studies, eye tracking allows researchers to measure consumers’ attention, interest, and decision-making processes, as well as their responses to advertisements. It is also a valuable tool for evaluating websites and applications, helping to optimize design and create more effective, engaging user experiences.
Explore Our Eye Tracking Solutions for Research
LogicOne – High-Precision Eye Tracker for Research
Our research-grade eye tracker captures precise gaze data at 250 Hz, making it ideal for fixation- and saccade-based studies. It provides the accuracy and reliability needed to investigate attention, perception, decision-making, and human behavior. It enables researchers to collect high-quality eye-tracking data with across various research applications.
Lite – Portable Screen-Based Eye Tracker
The Lite is a portable, screen-based eye tracker designed for versatile research anywhere — from controlled laboratory environments to flexible field studies. With sampling rates up to 120 Hz, it captures visual behavior quickly and reliably. Its lightweight design makes it ideal for researchers who need flexibility without compromising data quality.
InsightLab – Behavioral research software
A dedicated software platform for screen-based eye tracking studies, tailored to a wide variety of scientific studies, like psychology, neuroscience, linguistics and consumer research. It streamlines data enrichment, aggregation, and metric extraction with validated workflows, delivering accurate and replicable results.
