Evidence map›Paper›PMID 36429990›Full record

SynthesisInternational journal of environmental research and public health2022

Critical Analysis of the Evaluation Methods of Extended Reality (XR) Experiences for Construction Safety.

Daniel Salinas, Felipe Muñoz-La Rivera, Javier Mora-Serrano

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Daniel SalinasSchool of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.ORCID 0000-0001-5181-2736
Felipe Muñoz-La RiveraSchool of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.ORCID 0000-0002-6674-2168
Javier Mora-SerranoInternational Centre for Numerical Methods in Engineering (CIMNE), C/Gran Capitán S/N UPC Campus Nord, Edifici C1, 08034 Barcelona, Spain.ORCID 0000-0001-7142-2559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The construction industry has high accident rates. The sector is exploring various tools to improve safety management, training, and awareness to achieve zero accidents. This work focuses on extended reality (XR), which encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies. Several authors have developed training experiences for construction safety in XR environments with positive conclusions about their effectiveness. However, there is no standardization regarding the evaluation methods used in the sector, and many experiences do not use any method. This lack is critical, as whenever the aim is to evaluate the degree of awareness of security issues, the implementation of evaluation systems is indispensable to make known the methods used in the literature to evaluate the effectiveness of the experiences and represent support for future research. This research identifies developments in XR experiences and analyzes the validation methods through a systematic review using the PRISMA methodology. It identifies two evaluation methods, objective and subjective, which are each broken down into four categories. The results show the types of evaluation, safety-related purposes, and safety application objectives used by the database classification.

Indexed as

Augmented RealityConstruction IndustryVirtual RealitySafety Managementaugmented realityconstruction safetyextended realitymixed realityprevention of occupational hazardsvirtual reality

Identifiers

PMID36429990
PMCPMC9690792

What OpenQuestion holds

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LicenceCC BY
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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.