Evaluating pilot situation awareness using multi-agent systems
Date
2013
Authors
Khazab, M.
Lo, S.
Kilingaru, K.
Tweedale, J.W.
Jain, L.C.
Thatcher, S.
Ding, L.
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Journal article
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Intelligent Decision Technologies, 2013; 7(4):237-251
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Abstract
This paper presents the outcomes of collaborative research between three PhD students working in the Multi-Agent System (MAS), Knowledge-Based System (KBS), and aviation Situation Awareness (SA) domains. The aim of this research was to create a MAS that could be used to monitor pilot SA during flight. SA is a cognitive activity that is a critical function conducted by pilots to maintain knowledge of their environment during flight. Good SA ultimately enhances the safety of passengers by reducing the possibility of pilots contributing to a number of documented catastrophic incidents.
A controlled experiment has been devised to enable these students to capture and analyse pilot behaviour in an attempt to passively monitor SA monitoring activities using a camera. The MAS consists of multiple agent capabilities that capture the pilots visual acuity and eye movements. This data is used to assess the perceived cognitive activity in real-time. All agents can communicate and share the knowledge captured in order to analyse the activity based on pattern-matching rules using an embedded KBS. The experiments confirmed it is possible to identify at least three specific behaviours. The agents were able to post-process the acquired data to distinguish significant differences between an expert pilot and trained volunteers.
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Copyright 2013 IOS Press and The Authors