Innovative visualizations in aviation safety training leveraging artificial data for educational advancement

This paper explores the integration of innovative visualization technologies and artificial data in aviation safety training, emphasizing their transformative potential for enhancing educational outcomes. Through advanced simulation platforms, such as virtual and augmented reality, and AI-driven personalized learning systems, trainees experience realistic scenarios that improve engagement, spatial awareness, and decision-making skills. The study highlights significant improvements in training efficiency, knowledge retention, and error reduction, driven by synthetic data and adaptive learning methodologies. Challenges, including high implementation costs and data security concerns, are also discussed, along with case studies illustrating the practical application and effectiveness of these technologies. The findings underscore the need for continued innovation to foster a more competent and secure aviation workforce.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1117/12.3062709
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Innovative visualizations in aviation safety training leveraging artificial data for educational advancement

Hengshu Zhu
Human-Automation Interaction and Safety
article

Innovative visualizations in aviation safety training leveraging artificial data for educational advancement

Hengshu Zhu
article en

Abstract

This paper explores the integration of innovative visualization technologies and artificial data in aviation safety training, emphasizing their transformative potential for enhancing educational outcomes. Through advanced simulation platforms, such as virtual and augmented reality, and AI-driven personalized learning systems, trainees experience realistic scenarios that improve engagement, spatial awareness, and decision-making skills. The study highlights significant improvements in training efficiency, knowledge retention, and error reduction, driven by synthetic data and adaptive learning methodologies. Challenges, including high implementation costs and data security concerns, are also discussed, along with case studies illustrating the practical application and effectiveness of these technologies. The findings underscore the need for continued innovation to foster a more competent and secure aviation workforce.

Shanghai Civil Aviation College (CN)
Openalex Percentile: Top 91%
Human-Automation Interaction and Safety
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Innovative visualizations in aviation safety training leveraging artificial data for educational advancement — Hengshu Zhu · (2025) | TGRS Research Map | TGRS