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 eva...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.展开更多
This review examines the current applications,benefits,challenges,and future potential of artificial intelligence(AI)and immersive aviation technologies.AI has been applied across various domains,including flight oper...This review examines the current applications,benefits,challenges,and future potential of artificial intelligence(AI)and immersive aviation technologies.AI has been applied across various domains,including flight operations,air traffic control,maintenance,and ground handling.AI enhances aviation safety by enabling pilot assistance systems,mitigating human error,streamlining safety management systems,and aiding in accident analysis.Lightweight AI models are crucial for mobile applications in aviation,particularly for resource-constrained environments such as drones.Hardware considerations involve trade-offs between energy-efficient field-programmable gate arrays and power-consuming graphics processing units.Battery and thermal management are critical for mobile device applications.Although AI integration has numerous benefits,including enhanced safety,improved efficiency,and reduced environmental impact,it also presents challenges.Addressing algorithmic bias,ensuring cybersecurity,and managing the relationship between human operators and AI systems are crucial.The future of aviation will likely involve even more sophisticated AI algorithms,advanced hardware,and increased integration of AI with augmented reality and virtual reality,creating new possibilities for training and operations,and ultimately leading to a safer,more efficient,and more sustainable aviation industry.展开更多
文摘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.
基金funded by the Australian Government via the Research Training Program scholarshipand the UNSW via University International Postgraduate Award.
文摘This review examines the current applications,benefits,challenges,and future potential of artificial intelligence(AI)and immersive aviation technologies.AI has been applied across various domains,including flight operations,air traffic control,maintenance,and ground handling.AI enhances aviation safety by enabling pilot assistance systems,mitigating human error,streamlining safety management systems,and aiding in accident analysis.Lightweight AI models are crucial for mobile applications in aviation,particularly for resource-constrained environments such as drones.Hardware considerations involve trade-offs between energy-efficient field-programmable gate arrays and power-consuming graphics processing units.Battery and thermal management are critical for mobile device applications.Although AI integration has numerous benefits,including enhanced safety,improved efficiency,and reduced environmental impact,it also presents challenges.Addressing algorithmic bias,ensuring cybersecurity,and managing the relationship between human operators and AI systems are crucial.The future of aviation will likely involve even more sophisticated AI algorithms,advanced hardware,and increased integration of AI with augmented reality and virtual reality,creating new possibilities for training and operations,and ultimately leading to a safer,more efficient,and more sustainable aviation industry.
