CODA Progress and Outcomes
In our journey to revolutionize air traffic control, one of the earliest and most critical milestones was our CODA concept validation workshop. Picture a room filled with the brightest minds from our CODA Advisory Board, all eager to delve into the intricate details of our project. The goal was clear: refine the CODA concept and map out scenarios to test our innovative solution.
During this vibrant session, participants were encouraged to share their perspectives on several key areas. They discussed the potential impact of the CODA system and explored any potential issues. They examined the predictability of air traffic controllers’ (ATCOs) tasks and provided insights into our human-machine interface approach. They also assessed the relevance of cognitive functions like fatigue, workload, vigilance, and stress for our mental state prediction model. Their insights into the feasibility of real-time mental state assessment and en-route scenarios for system validation were invaluable. By the end of the day, the workshop proved to be a treasure trove of useful insights, shaping our path forward.
With these insights in hand, we embarked on the next step: developing the Operational Services and Environment Description (OSED) document.
This document is a deep dive into the latest advancements in Human-AI Interaction, mental state assessments of ATCOs, task prediction models, adaptive systems, and explainability, reported in the State of the art chapter.
Then, a detailed description of the concept is provided, including the operational environment, the operating method, and the key assumptions the project is starting from.
Building on this foundation, we crafted the Functional Requirements Document (FRD). This document paints a high-level picture of the future roles and contexts of ATCOs, drawing from comprehensive literature reviews, the collective expertise of our consortium, and feedback from ATCO workshops.
Moreover, it outlines the functional architecture and requirements of the CODA system, detailing the assumptions and frameworks guiding the development of our groundbreaking solution.
The CODA team has prepared a complete Exploratory Research Plan (ERP), that describes the sound experimental approach, validation objectives, and methods that are planned in the context of the CODA project for performing the foreseen validation activities.
During rest of 2024 the CODA team worked hard in a collection of technical developments, trying to build the essential blocks to make our concept a reality. The results of these efforts are summarized in the deliverables summarized next.
The CODA results on ATCO task short term prediction of ACTO tasks based on data-driven models are summarized in D3.1. Here the CODA team tried two AI/ML approaches, making use of state of the art methods, with different ambitions and limitations regarding data needs and explainability.
Respectively, D3.2 presents the development and implementation of a psychological model aimed at predicting the mental states (mental workload, fatigue, stress, and attention) of Air Traffic Controllers (ATCOs) within the CODA project. Pending final validation and calibration, the results were promising.
Meanwhile, D4.1 details the neurophysiological sensors and indexes used to assess the mental states of air traffic controllers (ATCOs). It describes the Human-Machine Performance Envelope (HMPE) index, a possible way to describe and measure Human-AI teaming.
Currently, we are working hard on the integration of the different prediction models, the generation of the adaptive automation strategy and the validation of the concept. Follow CODA socials to stay updated on our latest progresses!
ACKNOWLEDGEMENT
This project has received funding from the SESAR Joint Undertaking under the European Union’s Horizon Europe research and innovation programme under grant agreement No 101114765
CONTACTS
Project Coordinator
STEFANO BONELLI
Dissemination Leader
JUAN ALBERTO BESADA PORTAS
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