The media equation: how people treat computers, television, and new media like real people and places
User Modeling and User-Adapted Interaction
Multimodal support to group dynamics
Personal and Ubiquitous Computing - Special Issue: User-centred design and evaluation of ubiquitous groupware
Employing social gaze and speaking activity for automatic determination of the Extraversion trait
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Please, tell me about yourself: automatic personality assessment using short self-presentations
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Mining large-scale smartphone data for personality studies
Personal and Ubiquitous Computing
Connecting Meeting Behavior with Extraversion—A Systematic Study
IEEE Transactions on Affective Computing
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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.