| Autor: |
Khazab, M., Lo, S., Kilingaru, K., Tweedale, J.W., Jain, L.C., Thatcher, S., Ding, L. |
| Předmět: |
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| Zdroj: |
Intelligent Decision Technologies; 2013, Vol. 7 Issue 4, p237-251, 15p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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