扩展现实在飞行员飞行模拟器培训中的应用:通过元分析进行系统审查
Alexander Somerville1, Keith Joiner2, Timothy Lynar3
1School of Engineering and Technology, UNSW Canberra, Campbell, ACT 2612, Australia. a.somerville@unsw.ediu.au.
Visual computing for industry, biomedicine, and art
|October 22, 2025
概括
扩展现实 (XR) 技术在增强飞行员飞行训练模拟器方面表现有希望,提高了飞行员的性能. 需要进一步的研究,以解决模拟器疾病和跨不同背景的培训转移问题.
科学领域:
- 航空培训和模拟技术.
- 人与计算机在航空中的交互.
- 教育技术的有效性.
背景情况:
- 扩展现实 (XR) 技术越来越多地被探索作为传统飞行员培训模拟器的补充或替代品.
- 激励因素和XR在航空教育中的有效性需要系统的评估.
- 现有研究强调了XR对现代教育理论的沉浸式和空间效益.
研究的目的:
- 系统地审查和评估扩展现实 (XR) 技术在飞行员飞行培训中的有效性.
- 确定XR在航空模拟中采用XR的动机因素.
- 综合当前的证据,并确定XR飞行员培训的研究缺口.
主要方法:
- 根据QUOROM框架进行系统审查,适用于教育研究.
- 选了1237篇文章,其中67篇符合主题分析的条件.
- 对5项选定的研究进行的元分析,以量化性能改善.
主要成果:
- 分析显示,XR培训的飞行员表现具有统计学意义,中等强度的积极效应大小 (0.884) .
- 主题分析表明XR的好处,特别是沉浸力和空间意识,与现代教育方法保持一致.
- 当前文献的重点是一般航空和初学者飞行员技能.
结论:
- 这些发现支持在飞行员飞行训练模拟器中整合和使用XR技术.
- 仍然存在重大研究缺口,包括模拟器/网络疾病和综合培训转移研究.
- 本综述旨在指导未来XR的研究和技术开发,以在行业增长和飞行员短缺的情况下为航空培训提供指导.
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