Pupil Labs Blog

Driving is more than speed and steering. Using Neon wearable eye trackers alongside physiological and vehicle data, researchers explored how drivers handle high-demand maneuvers, rain, and automated system handoffs. This multi-layered approach reveals the hidden cognitive work behind the wheel and offers guidance for designing safer, more human-centered vehicles.

Standard eye tests often fail to measure what matters for Para athletes: real-world performance. New research from Vrije Universiteit Amsterdam used Pupil Labs eye tracking glasses to assess the functional vision of elite athletes with vision impairment. The study found dynamic metrics like gaze stability and scanning patterns successfully predicted athletic performance, whereas traditional acuity tests could not. These findings pave the way to objective, fairer, and more accurate classifications in Para sport.

From infants discovering faces to therapists building trust and partners synchronizing blinks, researchers are using wearable eye tracking to explore how gaze shapes human connection. Studies in Texas, California, and Germany using Pupil Labs’ Neon reveal both the deliberate and unconscious layers of our visual communication.

A study from the University of Rennes uses eye tracking to reveal how expert practitioners visually navigate one of IVF’s most delicate procedures—ultrasound-guided embryo transfer. As IVF continues to evolve, integrating tools like Neon into simulation-based training could help clinicians refine their technique, reduce variability in outcomes, and enhance patient care.

Researchers at the Center for Project-Based Learning D-ITET at ETH Zürich used Pupil Labs Neon eye tracking glasses with a four-legged Unitree robot to create an intuitive, gaze-driven navigation system. Designed for people with limited mobility, this technology enables safe, accurate robot movement through obstacle-filled spaces — all with near-instant response times.

Researchers from UWE Bristol have published a study that evaluates gaze based interfaces and interactions for assistive robots. This study offers encouraging insights into how different gaze-based interfaces can support intuitive, effective control of assistive robots — a critical step toward enhancing autonomy for individuals with limited mobility.