2019/09/02 by Mingzhi Yu, Yu, Mingzhi, Emer Gilmartin +3 · 2 citations
Computer Science · Psychology · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Personality Traits and Psychology #Sentiment Analysis and Opinion Mining #Speech and dialogue systems
paper · pdf · doi:10.48550/arxiv.1909.00876
openalex publication_date 2019/09/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Research on human spoken language has shown that speech plays an important role in identifying speaker personality traits. In this work, we propose an approach for identifying speaker personality traits using overlap dynamics in multiparty spoken dialogues. We first define a set of novel features representing the overlap dynamics of each speaker. We then investigate the impact of speaker personality traits on these features using ANOVA tests. We find that features of overlap dynamics significantly vary for speakers with different levels of both Extraversion and Conscientiousness. Finally, we find that classifiers using only overlap dynamics features outperform random guessing in identifying Extraversion and Agreeableness, and that the improvements are statistically significant.