Employing social gaze and speaking activity for automatic determination of the Extraversion trait

  • Authors:
  • Bruno Lepri;Ramanathan Subramanian;Kyriaki Kalimeri;Jacopo Staiano;Fabio Pianesi;Nicu Sebe

  • Affiliations:
  • FBK-irst, Italy;University of Trento, Italy;Univ. of Trento and FBK-irst, Corso Bettini, Rovereto, Italy;University of Trento, Italy;FBK-irst, Italy;University of Trento, Italy

  • Venue:
  • International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
  • Year:
  • 2010

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Abstract

In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group members and attention received from them. The results of our work confirm many of our hypotheses: a) speaking time and (some forms of) social gaze are effective in automatically predicting Extraversion; b) classification accuracy is affected by the size of the time slices used for analysis, and c) to a large extent, the consideration of the social context does not add much to accuracy prediction, with an important exception concerning social gaze.