Pupil Labs Blog

Track real-time cognitive effort during surgical training using Neon’s pupil size data and a novel algorithm from SOMAREALITY. Assessing expertise in high-stakes environments like surgery is complex. While traditional metrics such as accuracy and task completion time provide some information, they do not fully capture the underlying cognitive processes. Cognitive load, which can be reflected in moment-to-moment changes in pupil size, offers an additional perspective on the mental effort involved during complex procedures.

Researchers from BabyLab – Laboratory of Psychology and NeuroCognition at Grenoble Alpes University have created a Neon frame for young children (3-24 months). This headset leverages the open source geometry of Neon and enables researchers to gather high-quality visual attention data in natural situations that are more representative of an infant's actual world.

Researchers at McMaster University have created SocialEyes, a flexible software framework that when combined with Pupil Labs’ Neon, finally makes large-scale, multi-person eye-tracking possible in natural environments.

The Neon eye tracking module is super versatile in terms of how you wear it. Its compact size allows seamless integration into a wide variety of frame designs – each tailored to specific applications, environments, and user needs.

Since launching in 2019, Pupil Cloud has grown from a platform for data storage and playback to a powerful tool with fixation detection, gaze mapping, AOI analysis, and more. To support further growth, we’re introducing two paid add-ons: Unlimited Storage for unlimited recording hours and Anonymization for automatic face anonymization and custom DPA. Early adopters get the Unlimited Storage add-on free for one year!

Blink and you’ll miss it! Nishizono et al. combine eye tracking and race car telemetry to show how Formula drivers optimise their blink patterns for peak racing performance.