Investigating the role of visual experience with face-masks in face recognition during COVID-19
Srijita Karmakar, Koel Das

TL;DR
This study investigates how face masks affect face recognition, showing that familiarity improves recognition of masked faces and that neuropsychological responses differ based on familiarity and mask conditions.
Contribution
It provides new insights into how visual experience with masked faces influences recognition and neural responses, highlighting the role of familiarity in perceptual learning.
Findings
Familiar faces are recognized more accurately than unfamiliar ones when masked.
Neural responses (N250 and N170) are affected by face masks and familiarity.
Familiarity enhances perceptual learning of masked faces, but this does not generalize across different familiarity levels.
Abstract
The introduction of face masks during COVID-19 presents a potential challenge for human face perception and recognition. Face masks possibly hinder the holistic processing of faces leading to difficulty in facial recognition. Our present study aims to investigate this issue by probing the neuropsychological mechanisms of face recognition, while also exploring a possible learning effect observed in regularly seen (personally familiar) masked faces. Our stimuli consisted of personally familiar, famous, and unfamiliar Indian faces in masked and unmasked conditions. Subjects participated in a 2-back task wherein trials were balanced within and across blocks to represent all conditions identically, while behavioral and EEG responses were recorded. Statistical analyses revealed significant main effects of familiarity and mask-conditions on performance accuracy and reaction time (RT). The…
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Taxonomy
TopicsFace Recognition and Perception
