Conference paper
Spatial Learning in a Virtual Reality Boeing 737NG Flight Deck
Engineering Psychology and Cognitive Ergonomics. HCII 2023, pp.18-35
International Conference on Human-Computer Interaction, 2023 (Copenhagen, Denmark, 23-Jul-2023 - 28-Jul-2023)
Lecture Notes in Computer Science, 14018, Springer
2023
Abstract
The use of Virtual Reality (VR) in training rests on the assumption that perceptual and cognitive knowledge transfers to the real world. We conducted a repeated measures experiment to evaluate the transfer of spatial knowledge from three different environments (VR, an industry standard flat panel training device, and a physical flight deck) to a real flight deck. Participants had no previous flight deck experience. We used a time-limited endogenous search task to develop the spatial knowledge and provide an objective performance measure. We found a strong learning transfer effect for all groups, and no significant between group effects. These preliminary findings illustrate the possible utility of VR in aviation flight training, but further work is needed.
Details
- Title
- Spatial Learning in a Virtual Reality Boeing 737NG Flight Deck
- Authors
- Leighton Carr (Corresponding Author) - BoeingGuy Wallis (Author) - University of QueenslandNathan Perry (Author) - BoeingStephan Riek (Author) - University of the Sunshine Coast, Queensland, Graduate Research School
- Contributors
- Don Harris (Editor) - Coventry UniversityWen-Chin Li (Editor) - Cranfield University
- Publication details
- Engineering Psychology and Cognitive Ergonomics. HCII 2023, pp.18-35
- Conference details
- International Conference on Human-Computer Interaction, 2023 (Copenhagen, Denmark, 23-Jul-2023 - 28-Jul-2023)
- Series
- Lecture Notes in Computer Science; 14018
- Publisher
- Springer
- DOI
- 10.1007/978-3-031-35389-5_2; 10.1007/978-3-031-35389-5
- ISSN
- 1611-3349
- ISBN
- 9783031353895
- Organisation Unit
- Graduate Research School; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99741798402621
- Output Type
- Conference paper
Metrics
8 Record Views