Immersive Visualization in Pilot Training: from Cockpit Panels to Drone Navigation

Salvatore Livatino, Giuseppe Morana, Yasir Iqbal, Maya Mohamed, Sungwoo David Hwang, Phillip Gainley, T. Hai Nguyen, Kate E. Williams, Alessandro Zocco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Training in aviation is a costly but needed activity. The sooner pilots become acquainted with flight instrumentation, procedures, and maneuvers, the earlier their performance becomes safe and effective and the more cost saving the training is. The advantage of using flight simulators is well understood and their use widespread. The use of virtual reality (VR) technologies promises to further speed up the training process, allowing for more realistic and varying scenarios and a stronger sense of being there. There is however some reluctance towards the use of immersive VR systems in aviation training and lack of knowledge on its effectiveness. The result is a slow take-up of VR solutions while the use of 2Dscreen monitors remains dominant. This paper aim is to assess the “VR advantage” for pilot training. Users’ performance on VR headset is compared to that on 2D monitors. The focus is on two types of operations: flight deck training, i.e. the different operations pilots need to learn at cockpit; and skillful teleoperation practice, i.e. conducting aerial vehicle driving. We experiment the first type of operation for two sets of tasks on a virtual 3D representation of a Cessna cockpit, and the second type of operation on a quadcopter drone driven in a narrow tunnel. The aim is to gather insight on user’s performance and sensations when using immersive VR technologies. User performance is objectively measured in terms of accuracy of operation and timing, whereas users’ sensations are subjectively rated in terms of sense of presence, visual comfort and ease of use.
Original languageEnglish
Title of host publicationProceedings of 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Place of PublicationRome, Italy
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)978-1-6654-8574-6
DOIs
Publication statusPublished - 5 Dec 2022
Event2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) - Rome, Rome, Italy
Duration: 26 Oct 202228 Oct 2022
https://metroxraine.org/

Conference

Conference2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Abbreviated titleIEEE MetroXRAINE
Country/TerritoryItaly
CityRome
Period26/10/2228/10/22
Internet address

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