Classification of flight phases based on pilots' visual scanning strategies

Eye movements analysis has great potential for understanding operator behaviour in many safety-critical domains, including aviation. In addition to traditional eye-tracking measures on pilots’ visual behavior, it seems promising to incorporate machine learning approaches to classify pilots’ visual scanning patterns. However, given the multitude...

Visual scanning and spatial disorientation: evaluating of a simulated spatial disorientation scenario by means of pilot control and gaze bahavior

Interaction design patterns for coherent and re-usable shape specifications of human-robot collaboration

Sharing and re-using design knowledge is a challenge for the diverse multi-disciplinary research and development teams that work on complex and highly automated systems. For this purpose, a situated Cognitive Engineering (sCE) methodology was proposed that specifies and assesses the functional user requirements with their design rationale in a...

SUPRA - Enhanced upset recovery simulation

The SUPRA research project - Simulation of Upset Recovery in Aviation - has been funded by the European Union 7th Framework Program to enhance the flight simulation envelope for upset recovery simulation. Within the project an extended aerodynamic model, capturing the key aerodynamics during and beyond stall for a large category transport...