Findings suggest children's facial perception abilities are not only profoundly impaired when people wear facemasks, but the level of impairment is greater than in adults.
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Rather than trying to remember a face in its entirety, researchers say focus on the ears and specific facial markings like freckles, moles, or scars, to help build facial recognition skills.
Researchers describe how specific facial features distinguish a child's face from an adult's face. The findings may help new technologies to quickly determine if children are depicted in indecent images.
The fusiform face area, an area of the visual cortex responsible for facial processing, develops much earlier than previously believed.
Researchers report that within the visual processing areas, information about a personally familiar or visually familiar face is shared across the brains of those with the same friends or acquaintances. Additionally, shared information about personally familiar faces extends to areas of the brain implicated in social processing, suggesting there is shared social information across the brain.
Knowledge of an individual's personality can influence the perception of a face's identity and bias it toward unrelated people or identities, researchers report.
Men who are intoxicated with alcohol have impairments when it comes to correctly assessing emotional facial cues in others. Researchers speculate the findings may explain why alcohol use is often associated with harmful interpersonal and social interactions, such as aggression and domestic violence.
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Face pareidolia, a phenomenon where the brain is tricked into seeing human faces in inanimate objects, may occur as a result of the brain processing the perceived facial expression in the same sequential way it perceives a human face.
Viewing a subliminal image of their own faces, participants showed an increase in activity in the dopamine reward pathway in the brain. Findings shed new light on the underlying neural processes of self facial recognition.
Emotional recognition technology is rapidly growing into a multi-billion dollar industry. Researchers investigate the limitations of new AI technology, and some of the biases within the algorithms, when it comes to identifying human emotions efficiently.