A mobile flight case learning system for ATC miscommunications

[[abstract]]Aviation’s highest priority is safety. The primary risk to safety derives not from automated systems but from human factors, most notably air traffic control. We present results from development of a flight case learning system designed to operate on mobile phones used by air traffic controllers (ATCs). Our system takes advantage of key Ontology concepts, a case-based system development procedure, human-centered design (HCD) strategies, and appropriate small-screen interface design protocols. A questionnaire to assess user interaction satisfaction (QUIS) was deployed for subsequent usability testing and to verify acceptance of, and satisfaction with, the system. Twelve subjects participated in the questionnaire-based evaluation of subjective satisfaction. In addition, two flight experts served on a review panel for domain knowledge verification and acceptance of the interface design. Our results confirm that the system is a suitably designed mobile learning system that can accelerate self-learning for ATCs