Pupil Labs Blog

Making the system work inside your ecosystem. Eye tracking rarely exists in isolation. Open interfaces and accessible data make it possible to synchronise, extend, automate, and integrate an eye tracker with the rest of your research setup.

Researchers at Chemnitz University of Technology developed a low-cost, 3D-printed anaglyph add-on for Neon to support stereoscopic and dichoptic eye tracking with a standard RGB monitor. When tested against established laboratory systems, the setup achieved comparable accuracy in decoding participants' reported perception from eye movements.

Gaze on what? Knowing where someone is looking becomes useful when that gaze can be connected to the objects, surfaces, screens, and environments around them.

Research is unique and needs unique solutions. Experiments vary enormously. A good eye tracking system should be able to adapt to different participants, sensors, environments, and experimental setups.

Why gaze alone is not always enough, and why data rate matters. Gaze is only one output of an eye tracker. The underlying measurements, their sampling rates, and access to additional sensor data can determine what questions you are able to answer.

Reliable measurements as wearers, device fit, movement, lighting, and environments vary. Robustness determines whether an eye tracker can maintain measurement availability and performance as the conditions around it change.