Evidence map›Paper›PMID 41139359›Full record

ArticleAnnals of the New York Academy of Sciences2025

Reading the Social Clock: Analyzing Nonverbal Coordination Dynamics in Casual Chat and Conflict.

Gary Bente, Ralf Schmälzle, Nolan Jahn, Mark Reimers

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gary BenteDepartment of Communication, Michigan State University, East Lansing, Michigan, USA.ORCID 0009-0005-0819-8132
Ralf SchmälzleDepartment of Communication, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-0179-1364
Nolan JahnDepartment of Communication, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0001-8026-2657
Mark ReimersInstitute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0001-9023-2785

Funding

National Science Foundation 1907807
6 · The paper itself

Abstract

While temporal coordination of nonverbal behaviors is considered crucial for successful communication, the underlying behavioral phenomena are poorly understood, and it remains unclear how coordination dynamics adapt to different social task demands. This study explores changes in interpersonal synchrony as dyads transition from a casual getting-acquainted conversation to a hierarchical conflict resolution task. Using full-body motion capture, we compared temporal alignment patterns in movement activity, head orientation, and body posture of 66 dyads interacting in both conditions. Results show that different coordination measures responded differentially to the situational demands. Time-based measures reveal changes in movement coordination in most body dimensions when transitioning to conflict. Frequency-based measures show differences in the higher frequency bands (1-2 Hz) for horizontal and vertical head motions. Correlations between conditions were found in the spatial domain, indicating dyad-specific, persistent levels of postural similarity. The results suggest a nuanced understanding of temporal coordination phenomena, highlighting the need to consider different nonverbal subsystems and distinct types of coordination.

Indexed as

Conflict, PsychologicalInterpersonal RelationsNonverbal CommunicationAdultFemaleHumansMaleMovementPostureYoung Adultalignmentmotion capturemovement coordinationnonverbal communicationsynchrony

Identifiers

PMID41139359
PMCPMC12728332

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.