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. © 2010 ACM.

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

Lepri, Bruno;Subramanian, Ramanathan;Kalimeri, Kyriaki;Staiano, Jacopo;Sebe, Niculae;Pianesi, Fabio
2010-01-01

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. © 2010 ACM.
2010
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
New York
ACM
9781450304146
Lepri, Bruno; Subramanian, Ramanathan; Kalimeri, Kyriaki; Staiano, Jacopo; Sebe, Niculae; Pianesi, Fabio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/85594
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