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.
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Lepri, B., Kalimeri, K., Pianesi, F. (2010). Honest Signals and Their Contribution to the Automatic Analysis of Personality Traits – A Comparative Study. In: Salah, A.A., Gevers, T., Sebe, N., Vinciarelli, A. (eds) Human Behavior Understanding. HBU 2010. Lecture Notes in Computer Science, vol 6219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14715-9_14
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DOI: https://doi.org/10.1007/978-3-642-14715-9_14
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