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Deciphering Intents of Air traffic controllers, workLOad assessment and Gaze analysis to enable their efficient and trustworthy collaboration with AI

Project description

Increasing air traffic controller collaboration with AI

The increasing interconnection between humans and AI requires new solutions to ensure effective cooperation, which could greatly benefit air traffic control. The EU-funded DIALOG project aims to enhance collaboration between air traffic controllers and AI systems in air traffic management. Specifically, the project will develop an AI-based digital assistant called Teamwork Assistant, designed to anticipate and provide the necessary support to air traffic controllers (ATCOs). This assistant will use speech recognition and machine learning to assess the workload and attention of ATCOs in real time. The project will also develop prototypes and conduct validation exercises to evaluate the proposed solutions.

Objective

The DIALOG project aims to improve collaboration between air traffic controllers (ATCOs) and artificial intelligence (AI) systems in air traffic management. It addresses a very ambitious goal of enabling AI members of human-AI teams to anticipate when and what kind of assistance their human teammates need and to respond on that. DIALOG will develop an AI-based digital assistant called Teamwork Assistant that uses speech recognition and understanding of pilot-controller exchanges to infer ATCOs' intent and goals. It also utilizes machine learning-based methods to assess ATCOs' workload and attention in real-time based on voice, physiology, and behavioral data. The actions of the digital assistant are determined based on the ATCOs' current state, attention allocation, traffic situation, and general context. The project will develop prototypes and conduct validation exercises in close collaboration with end-users to assess the performance and usability of the proposed solutions.

Fields of science (EuroSciVoc)

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Coordinator

SINTEF AS
Net EU contribution
€ 641 630,00
Total cost
€ 641 630,00

Participants (5)