ReviewVisual computing for industry, biomedicine, and art2025
Applications of extended reality in pilot flight simulator training: a systematic review with meta-analysis.
Review in Visual computing for industry, biomedicine, and art, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Text-to-3D scene generation framework: bridging textual descriptions to high-fidelity 3D scenes.Visual computing for industry, biomedicine, and art · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of extended reality (XR) spectrum technologies as substitutes to augment traditional simulators in pilot flight training has received significant interest in recent times. A systematic review was conducted to evaluate the efficacy of XR technologies for this purpose and better understand the motivating factors for this use. The systematic review followed the QUOROM framework (adapted for educational studies), screening 1237 candidate articles to 67 eligible for thematic analysis, with 5 of these also meeting meta-analysis criteria. Existing literature emphasizes the benefits of these technologies, particularly as a result of immersiveness and spatial awareness, enabling the application of more modern educational theories. Although the existing literature is concerned with much of the industry, there is a specific focus on general aviation and the more ab initio skills of flight. The results of the meta-analysis indicate improvements in pilot performance, with an overall meta-analytic effect size estimate of 0.884 (z = 2.248, P = 0.025), which is positive, statistically significant, and moderately strong. The findings of this review indicate support for the use and intention for the use of XR in pilot flight training simulators. However, multiple serious research gaps exist, such as the potential higher occurrence of simulator sickness and cybersickness, and a lack of robust research trials that examine transfer of training across the full pilot skill set and curricular contexts. This novel systematic review and meta-analysis represent a significant attempt to shape and direct better research to help to direct flourishing technological XR development in a time of increasing pilot shortages and aviation growth.
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Registered trials
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.