Evidence map›Paper›PMID 37486385›Full record

SynthesisAnnals of biomedical engineering2023

Alterations in Physical Demands During Virtual/Augmented Reality-Based Tasks: A Systematic Review.

Pranav Madhav Kuber, Ehsan Rashedi

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

2 authors.

Pranav Madhav KuberBiomechanics and Ergonomics Lab, Industrial and Systems Engineering Department, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, NY, 14623, USA.ORCID http://orcid.org/0000-0001-6572-0912
Ehsan RashediBiomechanics and Ergonomics Lab, Industrial and Systems Engineering Department, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, NY, 14623, USA. exreie@rit.edu.ORCID http://orcid.org/0000-0002-2998-4993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The digital world has recently experienced a swift rise in worldwide popularity due to Virtual (VR) and Augmented Reality (AR) devices. However, concrete evidence about the effects of VR/AR devices on the physical workload imposed on the human body is lacking. We reviewed 27 articles that evaluated the physical impact of VR/AR-based tasks on the users using biomechanical sensing equipment and subjective tools. Findings revealed that movement and muscle demands (neck and shoulder) varied in seven and five studies while using VR, while in four and three studies during AR use, respectively, compared to traditional methods. User discomfort was also found in seven VR and three AR studies. Outcomes indicate that interface and interaction design, precisely target locations (gestures, viewing), design of virtual elements, and device type (location of CG as in Head-Mounted Displays) influence these alterations in neck and shoulder regions. Recommendations based on the review include developing comfortable reach envelopes for gestures, improving wearability, and studying temporal effects of repetitive movements (such as effects on fatigue and stability). Finally, a guideline is provided to assist researchers in conducting effective evaluations. The presented findings from this review could benefit designers/evaluations working towards developing more effective VR/AR products.

Indexed as

Augmented RealityVirtual RealityHumansMovementPhysical ExaminationUser-Computer InterfaceAssessmentBiomechanicsErgonomicsExtended realityHead-Mounted DisplayHuman–computer interaction

Identifiers

What OpenQuestion holds

Textmetadata
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.