Silvia Venerito
Foveal, Parafoveal and Peripheral Contributions to Facial Expression Recognition: An AR-Based Gaze-Contingent Study.
Rel. Federica Marcolin, Elena Carlotta Olivetti, Alessia Celeghin. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2026
Abstract
Facial Emotion Recognition (FER) has traditionally been assumed to rely primarily on high resolution foveal vision. However, accumulating evidence suggests that extrafoveal information may play a crucial role in decoding emotional expressions. Most existing studies have treated the region outside the fovea as a unitary area, leaving unexplored the functional distinction between parafoveal vision and peripheral vision. Previous gaze-contingent studies have, indeed, compared full-vision conditions with either isolated foveal windows or foveal masking without systematically investigating the specific contribution of parafoveal and peripheral regions. It is therefore unclear whether emotion recognition relies predominantly on parafoveal information, on a more peripheral input, or on their interaction.
This work aims to address this gap by systematically disentangling the contributions of foveal, parafoveal, and peripheral vision within an Augmented Reality (AR)-based gaze-contingent paradigm
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