Pupil Labs Blog

What does it mean, how is it measured, and how much do you actually need? Accuracy is one of the most commonly compared eye tracking specifications, but the number alone rarely tells the whole story.

What Makes a Good Eye Tracker? A Guide for Research and Industry

Archaeologists have long used pottery styles to trace cultural change, but these approaches reveal little about how people actually experience ancient artifacts. In this study, researchers used Pupil Core wearable eye tracking to investigate how viewers responded to prehistoric pottery spanning more than 5,000 years of history. The findings reveal that decorative motifs consistently attracted attention, while some of the oldest pottery styles proved the most visually engaging.

Collaborative robots are increasingly being designed to work alongside humans, but effective teamwork depends on understanding what a robot will do next. In this study, researchers used Neon wearable eye tracking to investigate how people respond to gaze-like visual cues from a collaborative robot. The findings reveal how robot eyes guide attention, shape trust, and help humans anticipate future actions.

Sexist memes can be difficult for AI and automated systems to detect because meaning often depends on subtle contextual cues rather than explicit images or language. In this study, researchers used Neon wearable eye tracking, EEG, and heart-rate monitoring to investigate how people process nearly 4,000 memes. The findings reveal distinctive patterns of attention and cognitive effort that helped AI better identify ambiguous forms of sexist content.

Navigating a shopping mall may seem intuitive for adults, but children process these environments in fundamentally different ways. In this study, researchers used Pupil Invisible and Pupil Cloud to examine how children visually search for navigational cues in real-world commercial spaces. The findings reveal how eye level, signage design, and environmental distractions shape children’s wayfinding behavior.