School of Engineering and Information Technology


Human Factors in Air Traffic Control

The human element is probably the most critical element in safety-critical systems, systems of systems, and complex systems. It is the element which is least predictable and largely least studied when compared to technological systems. Human Factors is a multi-disciplinary field of research focusing on understanding this interesting and fascinating human-machine interface. It draws on elements from cognitive science, behavioural science, computer science, and others to bring a pen-picture of the critical issues occurring at this important interface. We [Abbass, Coleman, Mount & Tucek] are developing new metrics for measuring the usability of displays, cognitive load and situation awareness in safety critical systems such as air traffic control systems.



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Other topics for Computational Intelligence during 2011:

 A Computational Linguistic Approach for the Identification of Translator Stylometry in Arabic-English Text
 Adversarial Evolution
 Adversarial Learning
 Aircraft User-Preferred Routes using dynamic network of control points
 Ant Colony Optimization Algorithm for Controlling Swarm Robots
 Automation in Air Traffic Control
 Community Detection in Complex Networks
 Competency Awareness in Strategic Decision Making
 Cognition-centric assessment of risk in transportation systems
 Dynamic Airspace Sectorisation
 Environmental Impact of Aviation
 Evolving Strategic Stories
 Fitness Landscape Analysis Using Network Motifs
 Fleet Optimisation for Defence Logistics Using Evolutionary Rule-Based Ensembles
 Interdependent Security in Air and Land Transport
 Risk Assessment of Air Traffic Controllers Tools for Conflict Detection (MTCD & TCT)
 Safety web for Air Traffic Control