How to Choose the Right Eye Tracker for Your Research

Eye tracking technology is used across many different fields of study from neuroscience to UX design. This guide walks through the key factors to consider so that you can match the right tool to your research objectives.

Start With Your Research Goals

The best eye tracker is the one that fits your study design. This includes:

What you’re measuring: fixations, saccades, pupil dilation, reading behavior, or attention patterns
Your study setting: from a controlled lab to a classroom environment
Your participant population: healthy adults, children, clinical groups, or people with visual impairments
Your required data quality: exploratory UX research has different tolerances than saccade latency studies

Match Sampling Rate to Your Study

Sampling rate represents how many data points are captured each second. You can select a sampling rate depending on your study topics:

60 Hz (Gazepoint GP3): ideal for reading research, UX testing, marketing studies, and most attention research
150 Hz (Gazepoint GP3 HD): suited for saccade research, and studies requiring higher temporal resolution

Account for Your Participant Population

Participant characteristics directly affect data quality. All Gazepoint trackers are designed to work reliably with glasses and contact lenses, and feature fast, flexible calibration. For populations with limited head control or atypical eye movements- children, older adults, or clinical groups- the Gazepoint GP3 HD‘s robust gaze recovery and higher-resolution tracking provide an extra margin of reliability.

Choose the Right Software Tier

The Gazepoint software suite is a comprehensive tool for collecting and analyzing eye gaze and biometric data.

Professional Edition: Includes heatmaps, AOIs, fixation path visualization, multi-user data aggregation, and image/video/statistics export. Ideal for academic and cognitive research.
UX Edition — Everything in Professional, plus Thinkaloud voice and webcam recording. Designed for usability testing and cognitive research where think-aloud protocols matter.

All editions ship with an Open Gaze API, enabling integration with PsychoPy, LSL, MATLAB, Python, and other research platforms.

Planning Multi-Modal Research? Add the Biometrics System

Many research questions benefit from combining gaze data with physiological signals. The Gazepoint Biometrics System adds skin conductance (GSR) and heart rate measurement to any Gazepoint setup, enabling synchronized multi-modal data collection- all within a single, affordable system. This is particularly valuable for:

Cognitive load and arousal studies
Neuromarketing and consumer behavior research
Clinical and psychophysiology research

The Bottom Line

All of Gazepoint’s eye gaze trackers share the same open software ecosystem, biometrics compatibility, and Gazepoint’s commitment to making professional eye tracking accessible. If you’re unsure which fits your study best, our team is happy to help you work through the decision. Contact us to learn more!