In our paper we focus on the usage of different kind of "honest" signals for the automatic prediction of two personality traits, Extraversion and Locus of Control. In particular, we investigate the predictive power of four classes of speech honest signal features (Conversational Activity, Emphasis, Influence, and Mimicry), along with three fidgeting visual features by systematically comparing the results obtained by classifiers using them.

Honest signals and their contribution to the automatic analysis of personality traits – a comparative study

Lepri, Bruno;Kalimeri, Kyriaki;Pianesi, Fabio
2010

Abstract

In our paper we focus on the usage of different kind of "honest" signals for the automatic prediction of two personality traits, Extraversion and Locus of Control. In particular, we investigate the predictive power of four classes of speech honest signal features (Conversational Activity, Emphasis, Influence, and Mimicry), along with three fidgeting visual features by systematically comparing the results obtained by classifiers using them.
Human behavior understanding
B. Lepri, K. Kalimeri, F. Pianesi
Istanbul
Springer
978-3-642-14715-9
Lepri, Bruno; Kalimeri, Kyriaki; Pianesi, Fabio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/84274
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