We often perceive faces in various contexts, such as in the shapes of clouds, the outlines of electrical outlets, and even in unusual items like a $28,000 grilled cheese sandwich claimed to resemble the Virgin Mary. This phenomenon, known as face pareidolia, refers to the tendency of humans to identify faces in both inanimate objects and random patterns of light and shadow.
Recent research indicates that our brains are highly attuned to recognizing facial features, often detecting them even in arbitrary visual stimuli. A study featured in the journal Royal Society Open Science involved participants who were shown common objects that bore facial resemblances as well as abstract images devoid of specific meaning. Remarkably, about 90% of the participants reported seeing a face in at least one of the abstract images.
According to Professor Branka Spehar from the University of New South Wales, the aim of the study was to explore whether simpler images, lacking distinct facial traits—such as “two round forms that could represent eyes and a horizontal line that might serve as a mouth”—would trigger similar responses in viewers.
The findings revealed that participants were more likely to identify faces in the images of objects (96.7%) compared to the abstract visual noise (53.4%). Furthermore, there was a notable trend in which participants perceived the faces in both categories as predominantly male, a result that aligns with previous research on pareidolia. The reasons behind this male bias remain unclear, according to Spehar.
Professor David Alais, a psychologist and neuroscientist at the University of Sydney who did not participate in the study, commented, “People generally perceive pareidolia images as male, youthful, and happy.” He noted that the most striking pareidolia instances often exhibit open, wide-eyed expressions that evoke associations with youthful exuberance or infants.
In contrast, faces observed in the random noise were more frequently interpreted as older and angrier, while those in object images tended to be seen as happy or surprised. Spehar suggested that this discrepancy might be linked to our brain’s inclination to identify potential threats in unfamiliar surroundings.
In a follow-up experiment, researchers presented participants with short videos of dynamic noise arranged in both random and vertically symmetrical patterns. The results showed that faces were more commonly perceived in the symmetrical clips (65.8%) than in the random patterns (23.6%). Participants reported seeing various figures, including dragons and demons, in the random noise. Spehar stated, “Once vertical symmetry is introduced, the perception of faces becomes dominant.”
Alais explained that pareidolia can be viewed as a “false positive” in our visual processing. “One of the key functions of our visual system is to quickly detect faces,” he said, adding that this ability is crucial for recognizing friends or potential threats. However, this can lead to misidentifying non-facial stimuli as faces.
He elaborated on the brain’s mechanism, suggesting that it applies patterns and predictions to incoming visual information for efficiency and speed. He emphasized that the brain has a specialized system, known as the face-selective network, which is specifically designed to identify the components of a face, such as two eyes, a nose, and a mouth. This predisposition may lead to a greater likelihood of perceiving faces in random noise compared to other non-facial objects.
