Evidence map›Paper›PMID 30268998›Full record

ArticleHuman movement science2018

Exploring complexity matching and asynchrony dynamics in synchronized and syncopated task performances.

Charles A Coey, Rachel W Kallen, Anthony Chemero, Michael J Richardson

Abstract read
In one paragraph

Article in Human movement science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

4 authors.

Charles A CoeyUniversity of Cincinnati, United States. Electronic address: ccoey@bwh.harvard.edu.
Rachel W KallenUniversity of Cincinnati, United States.
Anthony ChemeroUniversity of Cincinnati, United States.
Michael J RichardsonUniversity of Cincinnati, United States.

Funding

Research Training in Complementary and Integrative MedicineT32AT000051 · NCCIH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GLORIA Y YEH · 1999 to 2026
$10.2M
Modeling the Behavioral Dynamics of Social Action and CoordinationR01GM105045 · NIGMS · UNIVERSITY OF CINCINNATI · PI SCHMIDT, RICHARD C, SHOCKLEY, KEVIN · 2013 to 2017
$1.5M
NCCIH NIH HHS T32 AT000051NIGMS NIH HHS R01 GM105045
6 · The paper itself

Abstract

When two people synchronize their rhythmic behaviors (e.g., finger tapping; walking) they match one another not only at a local scale of beat-to-beat intervals, but also at a global scale of the complex (fractal) patterns of variation in their interval series. This "complexity matching" had been demonstrated in a variety of timing behaviors, but the current study was designed to address two important gaps in previous research. First, very little was known about complexity matching outside of synchronization tasks. This was important because different modes are associated with differences in the strength of coordination and the fractal scaling of the task performance. Second, very little was known about the dynamics of the asynchrony series. This was important because asynchrony is a variable directly quantifying the coordination between the two timing behaviors and the task goal. So, the current study explored complexity matching in both synchronized and syncopated finger tapping tasks, and included analyses of the fractal scaling of the asynchrony series. Participants completed an interpersonal finger tapping task, in both synchronization and syncopation conditions. The magnitude of variation and the exact power law scaling of the tapping intervals were manipulated by having one participant tap in time with a metronome. Complexity matching was most stable when there was sufficient variation in the task behavior and when a persistent scaling dynamic was presented. There were, however, several interesting differences between the two coordination modes, in terms of the heterogeneity of the complexity matching effect and the scaling of the asynchronies. These findings raised a number of important points concerning how to approach and understand the interaction of inherently complex systems.

Indexed as

FractalsPsychomotor PerformanceTask Performance and AnalysisAdultFemaleFingersHumansMaleYoung AdultComplexity matchingFinger tappingFractal scalingInterpersonal coordinationSyncopation

Identifiers

PMID30268998
PMCPMC7297219

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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.