Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes

September 02, 2019 ยท Declared Dead ยท ๐Ÿ› The Florida AI Research Society

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Authors Mingzhi Yu, Diane Litman, Susannah Paletz arXiv ID 1909.00867 Category cs.CL: Computation & Language Citations 7 Venue The Florida AI Research Society Last Checked 5 months ago
Abstract
Multi-party linguistic entrainment refers to the phenomenon that speakers tend to speak more similarly during conversation. We first developed new measures of multi-party entrainment on features describing linguistic style, and then examined the relationship between entrainment and team characteristics in terms of gender composition, team size, and diversity. Next, we predicted the perception of team social outcomes using multi-party linguistic entrainment and team characteristics with a hierarchical regression model. We found that teams with greater gender diversity had higher minimum convergence than teams with less gender diversity. Entrainment contributed significantly to predicting perceived team social outcomes both alone and controlling for team characteristics.
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