Automatic personality perception: Prediction of trait attribution based on prosodic features extended abstract

This paper proposes a prosody based approach for Automatic Personality Perception. Social psychology has shown that whenever we listen to a voice for the first time, we spontaneously and unconsciously attribute personality traits to the speaker. The attribution process is not necessarily accurate, b...

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Bibliographic Details
Published inInternational Conference on Affective Computing and Intelligent Interaction and workshops pp. 484 - 490
Main Authors Mohammadi, Gelareh, Vinciarelli, Alessandro
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.09.2015
Subjects
automatic personality perception
Automation
Big Five
Conferences
Entropy
Feature extraction
Linguistics
Logistics
Neuroscience
Perception
Personality
Personality traits
prosody
Psychology
social signal processing
Speech
Speech processing
Voice
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Summary:This paper proposes a prosody based approach for Automatic Personality Perception. Social psychology has shown that whenever we listen to a voice for the first time, we spontaneously and unconsciously attribute personality traits to the speaker. The attribution process is not necessarily accurate, but it is important because it shapes our behavior towards others. The experiments of this work are performed over a corpus of 640 speech samples (322 individuals in total) assessed in terms of speaker's personality traits by 11 judges. The results show that it is possible to predict some of the personality traits with accuracy higher than 70%. The effect of different prosodic features has also been analyzed and compared with findings in the psychological literature.
Bibliography:ObjectType-Article-2
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SourceType-Conference Papers & Proceedings-2
ISSN:2156-8111
DOI:10.1109/ACII.2015.7344614