Please, tell me about yourself: automatic personality assessment using short self-presentations

  • Authors:
  • Ligia Maria Batrinca;Nadia Mana;Bruno Lepri;Fabio Pianesi;Nicu Sebe

  • Affiliations:
  • Univ. of Trento and FBK-irst, Rovereto, Italy;FBK-irst, Povo, Italy;FBK-irst and MIT Media Lab, Povo, Italy;FBK-irst, Povo, Italy;University of Trento, Povo, Italy

  • Venue:
  • ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
  • Year:
  • 2011

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Abstract

Personality plays an important role in the way people manage the images they convey in self-presentations and employment interviews, trying to affect the other"s first impressions and increase effectiveness. This paper addresses the automatically detection of the Big Five personality traits from short (30-120 seconds) self-presentations, by investigating the effectiveness of 29 simple acoustic and visual non-verbal features. Our results show that Conscientiousness and Emotional Stability/Neuroticism are the best recognizable traits. The lower accuracy levels for Extraversion and Agreeableness are explained through the interaction between situational characteristics and the differential activation of the behavioral dispositions underlying those traits.