Scanning Faces: A Deep Learning Approach to Studying the Eye Movements of Prosopagnosic Subjects

Healthy individuals show certain biases when scanning faces, such as looking towards the eyes and the centre of the face, regions that are most informative for identifying people. Prosopagnosia is the inability to recognize faces, and some reports suggest that subjects with this condition have anomalous scanning of faces. Our goal was to determine whether a data- driven approach using artificial intelligence could identify the key scanning aspects that differentiated prosopagnosic subjects from controls