Evidence map›Paper›PMID 30356924›Full record

ArticleJournal of sport and health science2016

Multi-scale interactions in interpersonal coordination.

Tehran J Davis, Thomas R Brooks, James A Dixon

Abstract read
In one paragraph

Article in Journal of sport and health science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  12. Non-linearity in the dynamic world of human movement.Journal of sport and health science · 2016
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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

3 authors.

Tehran J DavisCenter for the Ecological Study of Perception and Action and Department of Psychological Sciences, University of Connecticut, Storrs, CT 06260-1020, USA.
Thomas R BrooksCenter for the Ecological Study of Perception and Action and Department of Psychological Sciences, University of Connecticut, Storrs, CT 06260-1020, USA.
James A DixonCenter for the Ecological Study of Perception and Action and Department of Psychological Sciences, University of Connecticut, Storrs, CT 06260-1020, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterpersonal coordination is an essential aspect of daily life, and crucial to performance in cooperative and competitive team sports. While empirical research has investigated interpersonal coordination using a wide variety of analytical tools and frameworks, to date very few studies have employed multifractal techniques to study the nature of interpersonal coordination across multiple spatiotemporal scales. In the present study we address this gap.

methodsWe investigated the dynamics of a simple dyadic interpersonal coordination task where each participant manually controlled a virtual object in relation to that of his or her partner. We tested whether the resulting hand-movement time series exhibits multi-scale properties and whether those properties are associated with successful performance.

resultsUsing the formalism of multifractals, we show that the performance on the coordination task is strongly multi-scale, and that the multi-scale properties appear to arise from interaction-dominant dynamics. Further, we find that the measure of across-scale interactions, multifractal spectrum width, predicts successful performance at the level of the dyad.

conclusionThe results are discussed with respect to the implications of multifractals and interaction-dominance for understanding control in an interpersonal context.

Indexed as

Component-dominant dynamicsInteraction-dominant dynamicsInterpersonal coordinationMultifractalTime series analysis

Identifiers

PMID30356924
PMCPMC6191966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.