Imagine a smart co-pilot that can tell when a human is getting overwhelmed just by reading their body signals and the current workload. It predicts when a person is about to hit their limit and automatically steps in to help, like taking over a task or simplifying the screen. It's like a stress-sensor for high-stakes jobs that adjusts the tools in real-time to keep things safe.
Air traffic controllers face extreme stress and cognitive overload, which can lead to safety critical errors when the workload exceeds human capacity.
A digital assistant featuring a task prediction model, a neurophysiological mental state predictor, and an adaptive automation strategy to dynamically reallocate tasks.
If you are an ANSP dealing with high controller stress and safety risks — this project developed a digital assistant that predicts mental workload and automatically increases automation levels to prevent overload.
If you are a rail operator dealing with complex traffic routing and operator fatigue — this project developed a human-machine performance envelope that adjusts task allocation based on the operator's real-time stress levels.
If you are a plant manager dealing with cognitive overload during emergencies — this project developed neurophysiological assessment tools that trigger AI-based support tools when an operator's attention span drops.
Based on available project data, the EU contributed EUR 1,929,486 to the research and development, but no commercial pricing model is provided.
The project uses general principles of human-AI teaming and neurophysiological assessment, which are applicable to any high-stress control environment, though it was specifically designed for air traffic control.
Based on available project data, the project is coordinated by DEEP BLUE SRL with 9 partners, but specific licensing terms are not disclosed.
The system integrates via a 'Teaming Playbook' and functional requirements that allow it to trigger automation increases or request airspace changes like sector splitting.
The project period runs from 2023-09-01 to 2026-02-28, indicating it is currently in the development and validation phase.
The consortium is well-balanced for a technical transition, consisting of 9 partners across 6 countries. With a 22% industry ratio (2 industry partners, including 2 SMEs), the project has a strong academic and research foundation (5 partners) but maintains a direct link to commercial application through the coordinator, DEEP BLUE SRL.
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