Personality Judgments Based on Speaker’s Social Affective Expressions

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Abstract

This paper describes some of the acoustic characteristics that influence peoples’ judgments about others. The database used was the multilingual corpus recorded with speakers in communicative dialogue contexts (e.g., Rilliard et al. 2013). The acoustic measurements were F0, intensity, HNR, H1-H2, and formant frequencies (F1, F2, and F3). The personality assessment was based on that proposed by Costa and McCrae (1992). A Multiple Factor Analysis (MFA) related the acoustic measures, the performance scores for each attitude, and the number of high, high-medium, low-medium and low ratings in the 5 personality traits, for audio-only and for audio-visual modalities. The results show that the most expressive speakers, those who produced the widest range in acoustic changes, were perceived as more EXTROVERTED and CONSCIENTIOUS. Speakers with high noise levels in the voice were judged with low AGREEABLENESS, and produced the best expressions involving an imposition on the interlocutor. Speakers judged as having high NEUROTICISM and low OPENNESS were perceived as the best performers for expressions with strong social constraints.

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APA

Erickson, D., Rilliard, A., de Moraes, J., & Shochi, T. (2018). Personality Judgments Based on Speaker’s Social Affective Expressions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10733 LNAI, pp. 3–13). Springer Verlag. https://doi.org/10.1007/978-3-030-00126-1_1

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