Detection of pilot errors in data by combining task modeling and model checking

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper we show a consistent approach of using Hierarchical Task Analysis together with model checking to identify pilot errors during the interaction with cockpit automation systems in aircraft. Task analysis is used to model flight procedures which describe how to operate a specific system in a particular situation. Afterwards model checking is used to identify deviations from these procedures in empirical simulator data. We envision applying this method to automatically detect pilot errors during flight tests or pilot training. © 2009 Springer.

Cite

CITATION STYLE

APA

Frische, F., Mistrzyk, T., & Lüdtke, A. (2009). Detection of pilot errors in data by combining task modeling and model checking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5726 LNCS, pp. 528–531). https://doi.org/10.1007/978-3-642-03655-2_59

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free