Evidence map›Paper›PMID 32030518›Full record

ArticlePsychological research2021

Decoding identity from motion: how motor similarities colour our perception of self and others.

Alexandre Coste, Benoît G Bardy, Stefan Janaqi, Piotr Słowiński, Krasimira Tsaneva-Atanasova, Juliette Lozano Goupil, Ludovic Marin

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Psychological research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Augmenting locomotor perception by remapping tactile foot sensation to the back.Journal of neuroengineering and rehabilitation · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Alexandre CosteEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Alès, Montpellier, France. alexandre.coste1@umontpellier.fr.ORCID http://orcid.org/0000-0002-4497-6473
Benoît G BardyEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Alès, Montpellier, France.ORCID https://orcid.org/0000-0001-9272-1734
Stefan JanaqiEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Alès, Montpellier, France.
Piotr SłowińskiDepartment of Mathematics and Living Systems Institute, Translational Research Exchange @ Exeter, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.ORCID https://orcid.org/0000-0002-6612-9902
Krasimira Tsaneva-AtanasovaDepartment of Mathematics and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.ORCID https://orcid.org/0000-0002-6294-7051
Juliette Lozano GoupilEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Alès, Montpellier, France.
Ludovic MarinEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Alès, Montpellier, France.
Université de Montpellier · FREngineering and Physical Sciences Research Council · GBUniversity of Exeter · GB

Funding

Engineering and Physical Sciences Research Council EP/N014391/1Wellcome Trust 204909
6 · The paper itself

Abstract

For more than 4 decades, it has been shown that humans are particularly sensitive to biological motion and extract socially relevant information from it such as gender, intentions, emotions or a person's identity. A growing number of findings, however, indicate that identity perception is not always highly accurate, especially due to large inter-individual differences and a fuzzy self-recognition advantage compared to the recognition of others. Here, we investigated the self-other identification performance and sought to relate this performance to the metric properties of perceptual/physical representations of individual motor signatures. We show that identity perception ability varies substantially across individuals and is associated to the perceptual/physical motor similarities between self and other stimuli. Specifically, we found that the perceptual representations of postural signatures are veridical in the sense that closely reflects the physical postural trajectories and those similarities between people' actions elicit numerous misattributions. While, on average, people can well recognize their self-generated actions, they more frequently attribute to themselves the actions of those acting in a similar way. These findings are consistent with the common coding theory and support that perception and action are tightly linked and may modulate each other by virtue of similarity.

Indexed as

ColorAdultEmotionsFemaleForm PerceptionHumansIndividualityMaleMotion PerceptionVisual Perception

Identifiers

PMID32030518
PMCPMC7900038
OpenAlexW3004975443

What OpenQuestion holds

Textmetadata
LicenceTDM
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.