001
Renderer
2020
Improving the pilot selection process by using eye-tracking tools
Examines visual attention measures as a complement to pilot selection. Useful for discussing scan assessment before increasingly demanding training phases.
Open research collection · Volume 01 / 2026
See the cues. Understand the consequences. Choose the next action. One hundred readings connect flight-school practice to perception, simulation and judgment.

Perception, scanning and sensory cues.
Dynamics, scenarios and transfer.
Learners, instructors, crews and AI.
The collection adapts Dr. Freedom Cheteni’s Render. Simulate. Plan. framework. Actors names the people and synthetic participants who perceive, plan and act.
61 readings directly concern flight training; 21 address aviation human factors; 15 examine simulation engineering; two concern ATC training; one addresses aeronautical engineering education. Each guide identifies its scope and evidence limits.
The research collection
100 of 100 research readings · Showing 1–12
001
Renderer
2020
Examines visual attention measures as a complement to pilot selection. Useful for discussing scan assessment before increasingly demanding training phases.
002
Renderer
2020
Demonstrates flexible areas of interest for mobile eye tracking in a simulator. Supports debriefs that connect instrument attention to training experience.
003
Renderer
2026
Examines scan sequences across segments of instrument approaches. Offers candidate debrief measures that consider the organization of cross-checks, not only dwell time.
004
Renderer
2025
Addresses the relationship between automation level, flying performance and visual scanning. A useful reading for comparing manual and automated monitoring exercises.
005
Renderer
2021
Compares professional pilots and novices during simulated landings. Helps frame scan coaching around attention distribution and scan structure as well as individual fixations.
006
Renderer
2015
Provides an air-traffic-control perspective on visual scanning. Useful for understanding the attention demands of another actor in the same aviation environment.
007
Renderer
2025
Uses instructor eye-movement examples to teach responses to instrument failure. Supports an article on making expert monitoring strategies visible during instruction.
008
Renderer
2026
Compares voice and gesture interaction with AR landing checklists. Useful for designing prompts that pilots can use while managing flight tasks.
009
Renderer
2026
Reviews how simulator frame rate relates to fast visual scenes, performance, sickness and training. Useful when specifying the renderer for demanding tasks.
010
Renderer
2021
Introduces airport imagery and super-resolution methods for simulator scenery. Useful for renderer discussions about terrain detail, visual references and image quality.
011
Renderer
2023
Uses pilot and aviation-expert input to identify AR applications and requirements. Supports designing displays around situation awareness and operational needs.
012
Renderer
2021
Benchmarks cockpit-device recognition for AR training overlays. Helps connect object recognition, registration and responsiveness to usable cockpit guidance.
These annotated research records link to the original publications. Source authors and venues retain their identity. Annotations were prepared with AI assistance under the journal’s editorial direction; they are not the source authors’ text or a formal systematic review. Some publications may share study samples. Screening depth is stated on every record.
80 sources carry CC BY, seven CC BY-NC and 13 CC BY-NC-ND. Matching license evidence was found on 70 article pages; 30 rely on publisher-deposited metadata and need an article/PDF rights check before full-text republication. Three TDM-only metadata records were supplemented by explicit article-license notices. Source articles are not reproduced in full here. Checked October 30, 2026.
100 source articles, with original authorship and individual reading guides.