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Main Authors: Zhang, Kaixiang, Zhang, Justine, Danescu-Niculescu-Mizil, Cristian
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.20474
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author Zhang, Kaixiang
Zhang, Justine
Danescu-Niculescu-Mizil, Cristian
author_facet Zhang, Kaixiang
Zhang, Justine
Danescu-Niculescu-Mizil, Cristian
contents An intrinsic aspect of every conversation is the way talk-time is shared between multiple speakers. Conversations can be balanced, with each speaker claiming a similar amount of talk-time, or imbalanced when one talks disproportionately. Such overall distributions are the consequence of continuous negotiations between the speakers throughout the conversation: who should be talking at every point in time, and for how long? In this work we introduce a computational framework for quantifying both the conversation-level distribution of talk-time between speakers, as well as the lower-level dynamics that lead to it. We derive a typology of talk-time sharing dynamics structured by several intuitive axes of variation. By applying this framework to a large dataset of video-chats between strangers, we confirm that, perhaps unsurprisingly, different conversation-level distributions of talk-time are perceived differently by speakers, with balanced conversations being preferred over imbalanced ones, especially by those who end up talking less. Then we reveal that -- even when they lead to the same level of overall balance -- different types of talk-time sharing dynamics are perceived differently by the participants, highlighting the relevance of our newly introduced typology. Finally, we discuss how our framework offers new tools to designers of computer-mediated communication platforms, for both human-human and human-AI communication.
format Preprint
id arxiv_https___arxiv_org_abs_2506_20474
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Time is On My Side: Dynamics of Talk-Time Sharing in Video-chat Conversations
Zhang, Kaixiang
Zhang, Justine
Danescu-Niculescu-Mizil, Cristian
Computation and Language
An intrinsic aspect of every conversation is the way talk-time is shared between multiple speakers. Conversations can be balanced, with each speaker claiming a similar amount of talk-time, or imbalanced when one talks disproportionately. Such overall distributions are the consequence of continuous negotiations between the speakers throughout the conversation: who should be talking at every point in time, and for how long? In this work we introduce a computational framework for quantifying both the conversation-level distribution of talk-time between speakers, as well as the lower-level dynamics that lead to it. We derive a typology of talk-time sharing dynamics structured by several intuitive axes of variation. By applying this framework to a large dataset of video-chats between strangers, we confirm that, perhaps unsurprisingly, different conversation-level distributions of talk-time are perceived differently by speakers, with balanced conversations being preferred over imbalanced ones, especially by those who end up talking less. Then we reveal that -- even when they lead to the same level of overall balance -- different types of talk-time sharing dynamics are perceived differently by the participants, highlighting the relevance of our newly introduced typology. Finally, we discuss how our framework offers new tools to designers of computer-mediated communication platforms, for both human-human and human-AI communication.
title Time is On My Side: Dynamics of Talk-Time Sharing in Video-chat Conversations
topic Computation and Language
url https://arxiv.org/abs/2506.20474