Abstract

As markers of reliability/inaccuracy of the reported information, there have been repeated attempts to use the partial facial features identified by experts. Our research proposes a transition to analysis at the level of automatically identified integral mimic patterns. To solve this problem, a model paired experiment was conducted in which participants had to repeatedly make a decision to tell the truth/lie. The analysis of facial expressions was performed by automatically calculating the coordinates of key points and further extracting integral facial expression patterns using the method of principal components. At the level of loads of the main components, signs of making a decision “to lie/tell the truth” for the sample as a whole and for individual subjects are highlighted. It was found that holistic patterns of facial expressions associated with the reliability/unreliability of the reported information at “low rates” are characterized by high individual variability. As a direction for further research on facial expressions, a transition to the study of the individual repertoire of integral patterns of facial expressions is proposed.

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