ArticleBrain sciences2021
The Kinematics of Social Action: Visual Signals Provide Cues for What Interlocutors Do in Conversation.
Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed.
- Dynamic facial movements shape how confident speakers appear.Proceedings. Biological sciences · 2026Article
- Article
- A Scoping Review on Conversational Memory and Characteristics of Conversations in Alzheimer's Disease.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Theory of Mind and the brain substrates of direct and indirect communicative action understanding.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Eyebrow movements as signals of communicative problems in human face-to-face interaction.Royal Society open science · 2025Article
- Embodying togetherness while taking divergent stances. Romantic couples' multimodal positioning practices while performing "we-stories".Frontiers in psychology · 2025Article
- Dyadic differences in empathy scores are associated with kinematic similarity during conversational question-answer pairs.Discourse processes · 2025Article
- Conversational facial signals combine into compositional meanings that change the interpretation of speaker intentions.Scientific reports · 2024Article
- Facilitating question identification through natural intensity eyebrow movements in virtual avatars.Scientific reports · 2023Article
- Behavioral dynamics of conversation, (mis)communication and coordination in noisy environments.Scientific reports · 2023Article
- Specific facial signals associate with categories of social actions conveyed through questions.PloS one · 2023Article
- Visual bodily signals as core devices for coordinating minds in interaction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
During natural conversation, people must quickly understand the meaning of what the other speaker is saying. This concerns not just the semantic content of an utterance, but also the social action (i.e., what the utterance is doing-requesting information, offering, evaluating, checking mutual understanding, etc.) that the utterance is performing. The multimodal nature of human language raises the question of whether visual signals may contribute to the rapid processing of such social actions. However, while previous research has shown that how we move reveals the intentions underlying instrumental actions, we do not know whether the intentions underlying fine-grained social actions in conversation are also revealed in our bodily movements. Using a corpus of dyadic conversations combined with manual annotation and motion tracking, we analyzed the kinematics of the torso, head, and hands during the asking of questions. Manual annotation categorized these questions into six more fine-grained social action types (i.e., request for information, other-initiated repair, understanding check, stance or sentiment, self-directed, active participation). We demonstrate, for the first time, that the kinematics of the torso, head and hands differ between some of these different social action categories based on a 900 ms time window that captures movements starting slightly prior to or within 600 ms after utterance onset. These results provide novel insights into the extent to which our intentions shape the way that we move, and provide new avenues for understanding how this phenomenon may facilitate the fast communication of meaning in conversational interaction, social action, and conversation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.