# Entrainment profiles: Comparison by gender, role, and feature set

arXiv: https://arxiv.org/abs/1805.11564 · HTML: https://mlsanity.com/paper/1805.11564/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 May 2018.

## Built on by (most cited first, 3 of 3)

- [Cognitive Spillover in Human-AI Teams](https://mlsanity.com/paper/2407.17489/) (2024)
- [Measuring Entrainment in Spontaneous Code-switched Speech](https://mlsanity.com/paper/2311.07703/) (2023)
- [Language Proficiency and F0 Entrainment: A Study of L2 English Imitation in Italian, French, and Slovak Speakers](https://mlsanity.com/paper/2404.10440/) (2024)

## Abstract (arXiv)

We examine prosodic entrainment in cooperative game dialogs for new feature sets describing register, pitch accent shape, and rhythmic aspects of utterances. For these as well as for established features we present entrainment profiles to detect within- and across-dialog entrainment by the speakers' gender and role in the game. It turned out, that feature sets undergo entrainment in different quantitative and qualitative ways, which can partly be attributed to their different functions. Furthermore, interactions between speaker gender and role (describer vs. follower) suggest gender-dependent strategies in cooperative solution-oriented interactions: female describers entrain most, male describers least. Our data suggests a slight advantage of the latter strategy on task success.