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Can we really "read the mind in the eyes"? Moreover, can AI assist us in thistask? This paper answers these two questions by introducing a machine learningsystem that predicts personality characteristics of individuals on the basis oftheir face. It does so by tracking the emotional response of the individual'sface through facial emotion recognition (FER) while watching a series of 15short videos of different genres. To calibrate the system, we invited 85 peopleto watch the videos, while their emotional responses were analyzed throughtheir facial expression. At the same time, these individuals also took fourwell-validated surveys of personality characteristics and moral values: therevised NEO FFI personality inventory, the Haidt moral foundations test, theSchwartz personal value system, and the domain-specific risk-taking scale(DOSPERT). We found that personality characteristics and moral values of anindividual can be predicted through their emotional response to the videos asshown in their face, with an accuracy of up to 86% using gradient-boostedtrees. We also found that different personality characteristics are betterpredicted by different videos, in other words, there is no single video thatwill provide accurate predictions for all personality characteristics, but itis the response to the mix of different videos that allows for accurateprediction.

Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition