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

arXiv: https://arxiv.org/abs/1909.00867 · HTML: https://mlsanity.com/paper/1909.00867/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Sep 2019.

## Built on by (most cited first, 2 of 2)

- [Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions](https://mlsanity.com/paper/2209.11842/) (2022)
- [A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations](https://mlsanity.com/paper/2109.01924/) (2021)

## Abstract (arXiv)

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.