Evidence map›Paper›PMID 38445019›Full record

ArticleInnovation (Cambridge (Mass.))2024

It's not all in your feet: Improving penalty kick performance with human-avatar interaction and machine learning.

Jean-Luc Bloechle, Julien Audiffren, Thibaut Le Naour, Andrea Alli, Dylan Simoni, Gabriel Wüthrich, Jean-Pierre Bresciani

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2024. 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. Review
  3. Article
  4. 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

7 authors.

Jean-Luc BloechleControl and Perception Laboratory, University of Fribourg, Bd Perolles 90, 1700 Fribourg, Switzerland.
Julien AudiffrenControl and Perception Laboratory, University of Fribourg, Bd Perolles 90, 1700 Fribourg, Switzerland.
Thibaut Le NaourMotion-up, Le Prisme, Place Albert Einstein, 56000 Vannes, France.
Andrea AlliControl and Perception Laboratory, University of Fribourg, Bd Perolles 90, 1700 Fribourg, Switzerland.
Dylan SimoniControl and Perception Laboratory, University of Fribourg, Bd Perolles 90, 1700 Fribourg, Switzerland.
Gabriel WüthrichFC Basel 1893, Birsstrasse 320A, 4002 Basel, Switzerland.
Jean-Pierre BrescianiControl and Perception Laboratory, University of Fribourg, Bd Perolles 90, 1700 Fribourg, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Penalty kicks are increasingly decisive in major international football competitions. Yet, over 30% of shootout kicks are missed. The outcome of the kick often relies on the ability of the penalty taker to exploit anticipatory movements of the goalkeeper to redirect the kick toward the open side of the goal. Unfortunately, this ability is difficult to train using classical methods. We used an augmented reality simulator displaying an holographic goalkeeper to test and train penalty kick performance with 13 young elite players. Machine learning algorithms were used to optimize the learning rate by maintaining an optimal level of training difficulty. Ten training sessions of 20 kicks reduced the redirection threshold by 120 ms, which constituted a 28% reduction with respect to the baseline threshold. Importantly, redirection threshold reduction was observed for all trained players, and all things being equal, it corresponded to an estimated 35% improvement of the success rate.

Identifiers

PMID38445019
PMCPMC10912701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.