Evidence map›Paper›PMID 35881309›Full record

ArticleSports medicine (Auckland, N.Z.)2023

Attributes of Expert Anticipation Should Inform the Design of Virtual Reality Simulators to Accelerate Learning and Transfer of Skill.

Sean Müller, Evan Dekker, Khaya Morris-Binelli, Benjamin Piggott, Gerard Hoyne, Wayne Christensen, Peter Fadde, Leonard Zaichkowsky, John Brenton, David Z Hambrick

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2023. 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Sean MüllerResearch Centre for Smart Analytics, Federation University Australia, University Drive, Mt. Helen, Ballarat, VIC, 3350, Australia. sean.muller@federation.edu.au.ORCID 0000-0001-5777-4953
Evan DekkerAcademic Services and Support Directorate, Federation University Australia, University Drive, Mt. Helen, Ballarat, VIC, 3350, Australia.
Khaya Morris-BinelliSchool of Health Sciences and Physiotherapy, The University of Notre Dame Australia, Perth, Western Australia.
Benjamin PiggottSchool of Health Sciences and Physiotherapy, The University of Notre Dame Australia, Perth, Western Australia.
Gerard HoyneSchool of Health Sciences and Physiotherapy, The University of Notre Dame Australia, Perth, Western Australia.
Wayne ChristensenSchool of Philosophy, University of Barcelona, Barcelona, Spain.
Peter FaddeSchool of Education, Southern Illinois University, Carbondale, IL, USA.
Leonard ZaichkowskyPerformance Consultant, Fort Myers, Florida, USA.
John BrentonPerformance Consultant, Perth, Western Australia.
David Z HambrickDepartment of Psychology, Michigan State University, East Lansing, MI, USA.
The University of Notre Dame Australia · AUFederation University · AUClinical Physiology Associates · USMichigan State University · USSouthern Illinois University Carbondale · USUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expert sport performers cope with a multitude of visual information to achieve precise skill goals under time stress and pressure. For example, a major league baseball or cricket batter must read opponent variations in actions and ball flight paths to strike the ball in less than a second. Crowded playing schedules and training load restrictions to minimise injury have limited opportunity for field-based practice in sports. As a result, many sports organisations are exploring the use of virtual reality (VR) simulators. Whilst VR synthetic experiences can allow greater control of visual stimuli, immersion to create presence in an environment, and interaction with stimuli, compared to traditional video simulation, the underpinning mechanisms of how experts use visual information for anticipation have not been properly incorporated into its content design. In themes, this opinion article briefly explains the mechanisms underpinning expert visual anticipation, as well as its learning and transfer, with a view that this knowledge can better inform VR simulator content design. In each theme, examples are discussed for improved content design of VR simulators taking into consideration its advantages and limitations relative to video simulation techniques. Whilst sport is used as the exemplar, the points discussed have implications for skill learning in other domains, such as military and law enforcement. It is hoped that our paper will stimulate improved content design of VR simulators for future research and skill enhancement across several domains.

Indexed as

BaseballVirtual RealityComputer SimulationHumansLearning

Identifiers

PMID35881309
PMCPMC9877049
OpenAlexW4288039416

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.