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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Smart Evaluation of Instrument Scan Pattern Using State Transition Model During Flight Simulator Training
verfasst von : Kavyaganga Kilingaru, Zorica Nedic, Jeffrey Tweedale, Steve Thatcher
Erschienen in: Smart Education and e-Learning 2017
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Abstract
Trainee pilots are expected to be thoroughly trained on both technical and nontechnical skills. Technical skills are relatively easy to evaluate. However, non-technical skills are hard to monitor and assess. This study investigates the feasibility of providing a smart evaluation technique that can generate feedback on trainee pilots’ instrument scan behavior. The authors conducted gaze monitoring experiments with a number of trainee pilots while operating a flight simulator in order to isolate patterns of behavior associated with Situation Awareness (SA). Recorded data on eye movements are then processed and transitions are extracted using a state transition model. The sequence of transitions are then processed to retrieve repeated instrument scan pattern. The results are verified using chart visualizations.