The analysis of peripheral vision in exhibition environments reveals how visitors perceive artworks without looking at them directly. This forensic 3D pipeline reconstructs eye and body trajectory to understand what captures lateral attention. The data obtained allows for redesigning rooms and improving the experience without altering the essence of the art.
Volumetric reconstruction of gaze and movement 🧠
The process combines high-resolution photogrammetry with eye-tracking sensors integrated into lightweight glasses. A 3D model of the room is generated where each head and pupil position is mapped in real time. Computer vision algorithms filter micro-saccades (involuntary movements) to separate conscious attention from peripheral attention. The result is a volumetric heat map indicating areas of latent interest, such as labels, frame edges, or reflections in display cases. This analysis is cross-referenced with variables such as lighting, piece height, and pedestrian flow to determine repeatable patterns. Accuracy reaches 2 millimeters in eye position, enough to distinguish between a casual glance and a prolonged fixation.
When art is seen out of the corner of the eye (and nobody notices) 👀
After analyzing 40 hours of visits, the system discovered that 60% of attendees spend more time looking at their phones than at the artworks. The irony: peripheral vision detects the screen's brightness before the painting on the right. The 3D maps show that people avoid central sculptures to look for the nearest outlet or emergency exit. The final report suggests installing wireless chargers next to masterpieces, not for convenience, but so that the lateral gaze finds something interesting while the phone owner gets bored.