Recognising masked faces is a challenge in security contexts such as crowd surveillance and criminal investigations. Congruency-based approaches that emphasise the alignment between the encoded and retrieved facial features can improve masked face recognition. In two experiments (total N = 275), we tested how suboptimal viewing conditions, such as those encountered in real-world scenarios, can affect such congruency effects.
Participants completed a face recognition task using low-resolution, naturalistic images. They viewed full or masked faces at encoding and test, resulting in four conditions (full-full, masked-masked, full-masked, masked-full). Recognition accuracy was modest (
Extract — continue reading at the source.
Related stories
Half a million older Scots facing fuel insecurity, study finds
Warming weakens Asian monsoon's reach into the Mediterranean
How will El Niño affect the world?
Peeling crust beneath Italy's Apennines may explain why mountains stretch and squeeze
How NASA's Nancy Grace Roman Space Telescope will open a window into the Milky Way
The novel on your nightstand may be doing more for your empathy and cognitive health than you think