Kyriaki Kalimeri
ABSTRACT
A new perspective in the automatic recognition of personality is proposed; shifting our focus from the traditional goal of using behaviors to infer about personality traits, to the classification of excerpts of social behavior into personality states. The personality states are specific behavioral episodes that can be described as having the same content as traits wherein a person behaves more or less introvertedly/ extravertedly, more or less neurotically etc depending on the social situation. Exploiting the SociometricBadge Corpus, a first step towards addressing this new perspective is presented, starting from the automatic classification of personality states from multimodal behavioral cues. The effectiveness of these cues as well as of other situational characteristics are investigated for the sake of personality state classification. Moreover, a first approach towards the automatic discovery of situational characteristics is proposed.
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Index Terms
- Towards a dynamic view of personality: multimodal classification of personality states in everyday situations
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