Evidence map›Paper›PMID 35286617›Full record

ReviewSports medicine (Auckland, N.Z.)2022

A Narrative Review of the Current State of Extended Reality Technology and How it can be Utilised in Sport.

Peter Le Noury, Remco Polman, Michael Maloney, Adam Gorman

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Special Issue "Biomechanical Analysis in Physical Activity and Sports-2nd Edition".Journal of functional morphology and kinesiology · 2026
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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.

Peter Le NouryFaculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology, 502/510 Saint Pauls Terrace, Bowen Hills, Brisbane, QLD, 4006, Australia. peter.lenoury@qut.edu.au.ORCID http://orcid.org/0000-0001-9825-4233
Remco PolmanFaculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology, 502/510 Saint Pauls Terrace, Bowen Hills, Brisbane, QLD, 4006, Australia.ORCID http://orcid.org/0000-0003-2951-0904
Michael MaloneyAustralian Institute of Sport, Canberra, ACT, Australia.
Adam GormanFaculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology, 502/510 Saint Pauls Terrace, Bowen Hills, Brisbane, QLD, 4006, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended reality is an umbrella term used to describe three computer-generated technologies including virtual reality, augmented reality and mixed reality. Extended reality is an emerging technology that has been utilised in many high-performance domains including psychology, medicine and the military, with the aim of enhancing perceptual-cognitive skills and motor skills. However, the use of extended reality in sport, particularly at the elite level, has only recently started to receive attention. While the growth of extended reality technology continues to accelerate at a rapid rate, empirical evidence aimed at understanding how these devices can best be applied in high-performance sport has not followed suit. Therefore, the purpose of this review is to provide clarity for high-performance sport organisations, researchers, sport scientists, coaches and athletes about the current state of extended reality technology and how it has been utilised in sport. In doing so, we first define and give examples of the types of extended reality technology including virtual reality, augmented reality and mixed reality that are available at the present time. Second, we detail how skill acquisition principles underpinned by the theoretical framework of ecological dynamics can be used to help inform the design and assessment of extended reality training tools. Third, we describe how extended reality has been utilised in sport, including how extended reality tools have been assessed for their level of representativeness, and the effectiveness of extended reality training interventions for improving perceptual-cognitive skills and motor skills. Finally, we discuss the future utilisation of extended reality in sport, including the key learnings that can be drawn from other domains, future research directions, practical applications and areas for consideration related to the use of extended reality for training skills in sport.

Indexed as

SportsVirtual RealityAthletesHumansMotor SkillsTechnology

Identifiers

PMID35286617
PMCPMC9213326

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.