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DIALOG

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

Project Overview

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.

DIALOG Objectives

DIALOG aims to promote humans AI collaboration (level 2B AI) by introducing AI as a team player

SCIENTIFIC, INNOVATION, AND RESEARCH OBJECTIVES (SIO)

Develop a framework for integrating AI systems into human-AI teams, enabling AI to anticipate human needs and provide tailored support.

TECHNOLOGICAL OBJECTIVES (TO):

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.

IMPACT AND SOCIETAL OBJECTIVES (ISO):

Foster the adoption of advanced human-AI teamwork systems, enhancing safety, efficiency, and trust in air traffic management operations

Timeline

Latest news & events

Featured on Global Airspace Radar: DIALOG Unlocks the Key to Trustworthy AI (Hint: It’s the Timing)
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Featured on Global Airspace Radar: DIALOG Unlocks the Key to Trustworthy AI (Hint: It’s the Timing)

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

Featured on Global Airspace Radar: DIALOG Unlocks the Key to Trustworthy AI (Hint: It’s the Timing)

DIALOG Premiere Newsletter – Exploring Human–AI Collaboration in Air Traffic Management

Celebrating One Year of DIALOG — one year of progress, collaboration, and innovation.