Developing a usable mobile flight case learning system in air traffic control miscommunications

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Abstract

Aviation's highest priority is safety. The primary risk to safety derives not from automated systems but from human factors, most notably pilots and air traffic control. We present results from development of a flight case learning system designed and aviation regulation retrieve system to operate on mobile phones used by pilots and air traffic controllers. Our system takes advantage of key ontology concepts, human-centered design 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 students 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 MFCLS is a suitably designed mobile learning system that can accelerate self-learning for both pilots and controllers. © 2009 Springer Berlin Heidelberg.

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APA

Su, K. W., Lee, K. Y., Huang, P. H., & Chen, I. T. (2009). Developing a usable mobile flight case learning system in air traffic control miscommunications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5613 LNCS, pp. 770–777). https://doi.org/10.1007/978-3-642-02583-9_83

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