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Automated Prediction of Extraversion during Human-Robot Interaction

This paper introduces an automatic system for the prediction of extraversion during the first minutes interaction between humans and and a humanoid robot. In such interactions the behavioural response of people depends by their personality traits and by their attitude towards robots. A set of non-verbal features is proposed to characterize such behavioural responses. Results obtained using such features on a dataset of adults interacting with the iCub robot show the effectiveness of this approach.