NINA is a research project co-funded by SESAR, as part of its long-term research programme.

It aimed at developing a tool able to perform a real-time assessment on a set of cognitive states of Air Traffic Controllers performing their job – such as mental workload intensity, type of attentional control and proficiency level gained during a training period. The tool uses an algorithm based on the analysis of 3 main neurophysiologic indexes: electrical brain activity, heart rate variability, and eye blinking.

As an integral part of the project, a study to show how the further development of similar kinds of tools could enhance aviation safety and efficiency was performed. This page briefly summarises the results of the study, presenting a proof-of-concept for an advanced system able to understand in real-time the operator’s psycho-physical state, to match it with the situation in which she is operating and to provide the best automated support accordingly.

THE ADAPTATION LOGIC

The system reacts to 3 different sources of disruption (traffic complexity, time pressure and reduced fitness) providing specific support to the 4 main processes controllers have to perform (information acquisition, analysis, action selection and implementation). The level of automation of the solutions ranges from low (the system leaves the human completely in charge) to high (the system decides and implements some actions).

In order to select the best solution to mitigate the performance degradation, the system takes into consideration the three dimensions represented in the cube: source of disruption, stage of information processing to be supported and level of automation to be provided.

ADVANCED ADAPTIVE SOLUTIONS

Have a look at 12 concepts of adaptive solutions.

COMPLEXITY

TIME PRESSURE

FITNESS

ACQUISITION

The adaptive solutions help controllers acquire all the relevant information they need to safely manage the current traffic.

Space Scanner: Low Automation

Priority Spot: Low Automation

Meta Signs: Low Automation

ANALYSIS

The adaptive solutions help controllers correctly understand the meaning of the acquired information.

Dynamic Filter: Medium Automation

Adaptive Label: Medium Automation

Hyperlabel: Medium Automation

DECISION

The adaptive solutions support controllers in selecting the most appropriate action or decision.

Quick Simulation: Low Automation

Multiple Decisions: Medium Automation

Decision Proposal: Medium Automation

IMPLEMENTATION

The adaptive solutions support controllers to correctly execute the selected action.

Communicaiton Highlight: Low Automation

Task Sequencer: High Automation

Auto Control: High Automation

The content of this website is produced under the EC contract 12-120610-C4. It is the property of the NINA Consortium and shall not be distributed or reproduced without the formal approval of the NINA Steering Committee. The content of this website is protected by copyright.