Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes
September 02, 2019 ยท Declared Dead ยท ๐ 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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