Beyond the Lombrosian concepts that were already stored in the trunk of pseudosciences, Artificial intelligence does seem to have found correlations between our face and our personality.
This is what it suggests a new study published in Nature whose results indicate that real-life photographs taken in uncontrolled conditions can be used to predict personality traits using computer vision algorithms.
Big Five
In psychology, the Big Five Model (or simply Big Five) is a taxonomy or classification of personality traits that analyzes the composition of five personality dimensions in its broadest sense, and can be correlated with certain faces, according to the aforementioned study. The big five would be: Openness to experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism.
According to the study, these types of faces would correlate with such personality dimensions:
The initial sample included 25,202 participants who completed the questionnaire and uploaded a total of 77,346 photographs. Finally, they trained artificial neural networks (ANN) on a large set of labeled data to predict scores.
It is not well known whether these correlations have a true causal link and why. But if they had it, There are several theoretical reasons to expect associations between facial images and personality..
First, genetic background contributes to both face and personality. In addition to shaping the face, genes also play a role in the development of various personality traits, such as risk behavior, and the contribution of genes to some traits exceeds the contribution of environmental factors.
Our brain, intuitively, would also find a face more beautiful or trustworthy based on facial patterns, just as we also unconsciously detect the other person's health, as suggested a study from a few years ago, led by researchers at Macquarie University, which developed a new computer model that can predict the status of certain health characteristics simply by analyzing a person's face.
The study, which was published in the journal Frontiers in Psychology, shows that the model is capable of detecting information on BMI, body fat and blood pressure levels.
This allows us to identify healthy people to mate or to form cooperative relationships, it is a mere evolutionary mechanism, which algorithms have now learned to identify with much more certainty. You can delve into all this in the following video:
–
The news
The face could indeed be the mirror of the soul, according to artificial vision algorithms
was originally published in
Xataka Science
by
Sergio Parra
.