Evidence map›Paper›PMID 27009178›Full record

ArticleJournal of the Royal Society, Interface2016

Dynamic similarity promotes interpersonal coordination in joint action.

Piotr Słowiński, Chao Zhai, Francesco Alderisio, Robin Salesse, Mathieu Gueugnon, Ludovic Marin, Benoit G Bardy, Mario di Bernardo, Krasimira Tsaneva-Atanasova

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Perceptual-motor styles.Experimental brain research · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Piotr SłowińskiDepartment of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK.
Chao ZhaiDepartment of Engineering Mathematics, University of Bristol, Merchant Venturers' Building, Bristol BS8 1UB, UK.
Francesco AlderisioDepartment of Engineering Mathematics, University of Bristol, Merchant Venturers' Building, Bristol BS8 1UB, UK.
Robin SalesseEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, 34090 Montpellier, France.
Mathieu GueugnonEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, 34090 Montpellier, France.
Ludovic MarinEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, 34090 Montpellier, France.
Benoit G BardyEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, 34090 Montpellier, France Institut Universitaire de France, Paris, France.
Mario di BernardoDepartment of Engineering Mathematics, University of Bristol, Merchant Venturers' Building, Bristol BS8 1UB, UK Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.
Krasimira Tsaneva-AtanasovaDepartment of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK k.tsaneva-atanasova@exeter.ac.uk.

Funding

Medical Research Council G0701050
6 · The paper itself

Abstract

Human movement has been studied for decades, and dynamic laws of motion that are common to all humans have been derived. Yet, every individual moves differently from everyone else (faster/slower, harder/smoother, etc.). We propose here an index of such variability, namely an individual motor signature (IMS) able to capture the subtle differences in the way each of us moves. We show that the IMS of a person is time-invariant and that it significantly differs from those of other individuals. This allows us to quantify the dynamic similarity, a measure of rapport between dynamics of different individuals' movements, and demonstrate that it facilitates coordination during interaction. We use our measure to confirm a key prediction of the theory of similarity that coordination between two individuals performing a joint-action task is higher if their motions share similar dynamic features. Furthermore, we use a virtual avatar driven by an interactive cognitive architecture based on feedback control theory to explore the effects of different kinematic features of the avatar motion on coordination with human players.

Indexed as

Interpersonal RelationsFemaleHumansJointsMaleMovementmathematical modellingmovement dynamicsstatistical analysis

Identifiers

PMID27009178
PMCPMC4843673

What OpenQuestion holds

Textmetadata
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.