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Sci Rep ; 9(1): 11924, 2019 08 15.
Article in English | MEDLINE | ID: mdl-31417172

ABSTRACT

Social and cognitive psychology provide a rich map of our personality landscape. What appears to be unexplored is the correspondence between these findings and our behavioural responses during day-to-day life interaction. In this article, we utilize cluster analysis to show that the individuals' facial pre-touch space can be divided into three well-defined subspaces and that within the first two immediate clusters around the face area such distance information significantly correlate with their openness in the five-factor model (FFM). In these two clusters, we also identify that the individuals' facial pre-touch space can predict their level of openness that are further categorized into six distinct levels with a highly above chance accuracy. Our results suggest that such personality factors as openness are not only reflected in individuals' behavioural responses but also these responses allow for a fine-grained categorization of individuals' personality.


Subject(s)
Space Perception/physiology , Touch/physiology , Algorithms , Computer Simulation , Confidence Intervals , Face , Female , Humans , Male , Statistics, Nonparametric , Young Adult
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