Evidence map›Paper›PMID 27780259›Full record

ArticlePloS one2016

Doing It Your Way: How Individual Movement Styles Affect Action Prediction.

Atesh Koul, Andrea Cavallo, Caterina Ansuini, Cristina Becchio

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Atesh KoulC'MON Unit, Fondazione Istituto Italiano di Tecnologia, Center for Human Technologies, Via E. Melen 83, 16152, Genova, Italy.
Andrea CavalloDepartment of Psychology, University of Torino, Via Po 14, 10123, Torino, Italy.ORCID http://orcid.org/0000-0002-3717-3760
Caterina AnsuiniC'MON Unit, Fondazione Istituto Italiano di Tecnologia, Center for Human Technologies, Via E. Melen 83, 16152, Genova, Italy.
Cristina BecchioC'MON Unit, Fondazione Istituto Italiano di Tecnologia, Center for Human Technologies, Via E. Melen 83, 16152, Genova, Italy.

Funding

European Research Council 312919
6 · The paper itself

Abstract

Individuals show significant variations in performing a motor act. Previous studies in the action observation literature have largely ignored this ubiquitous, if often unwanted, characteristic of motor performance, assuming movement patterns to be highly similar across repetitions and individuals. In the present study, we examined the possibility that individual variations in motor style directly influence the ability to understand and predict others' actions. To this end, we first recorded grasping movements performed with different intents and used a two-step cluster analysis to identify quantitatively 'clusters' of movements performed with similar movement styles (Experiment 1). Next, using videos of the same movements, we proceeded to examine the influence of these styles on the ability to judge intention from action observation (Experiments 2 and 3). We found that motor styles directly influenced observers' ability to 'read' others' intention, with some styles always being less 'readable' than others. These results provide experimental support for the significance of motor variability for action prediction, suggesting that the ability to predict what another person is likely to do next directly depends on her individual movement style.

Indexed as

AdultBiomechanical PhenomenaCluster AnalysisFemaleHand StrengthHumansIntentionMaleMotion PerceptionMovementVideo RecordingYoung Adult

Identifiers

PMID27780259
PMCPMC5079573

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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.