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DIALOG<\/p>\n

Deciphering Intents of Air traffic controllers, workLOad assessment and Gaze analysis to enable their efficient and trustworthy collaboration with AI<\/h3>\n<\/div><\/div><\/div><\/div><\/div>

Project Overview<\/strong><\/p>\n<\/div>

DIALOG is an exploratory research project designed to enhance collaboration between air traffic controllers (ATCOs) and artificial intelligence (AI) systems in air traffic management. By leveraging real-time assessments of ATCOs’ workload, attention, and intent, DIALOG aims to develop and validate an AI-based digital assistant, the Teamwork Assistant, to anticipate and provide timely, context-aware support for human operators.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

DIALOG Objectives<\/strong><\/p>\n<\/div>

DIALOG aims to promote humans AI collaboration (level 2B AI) by introducing AI as a team player<\/span><\/i><\/p>\n<\/div>

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SCIENTIFIC, INNOVATION, AND RESEARCH OBJECTIVES (SIO)<\/b><\/p>\n

Develop a framework for integrating AI systems into human-AI teams, enabling AI to anticipate human needs and provide tailored support.<\/span><\/b><\/p>\n<\/div><\/div><\/div>

TECHNOLOGICAL OBJECTIVES (TO)<\/span>:<\/b><\/p>\n

Design and implement the Teamwork Assistant, an AI-powered tool utilizing machine learning to monitor ATCOs’ state in real time, based on voice, physiology, and behavioral data.<\/span><\/b><\/p>\n<\/div><\/div><\/div>

IMPACT AND SOCIETAL OBJECTIVES (ISO):<\/b><\/p>\n

Foster the adoption of advanced human-AI teamwork systems, enhancing safety, efficiency, and trust in air traffic management operations<\/p>\n<\/div><\/div><\/div><\/div><\/div>

Timeline<\/strong><\/p>\n<\/div>

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Latest news & events<\/strong><\/p>\n<\/div>