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Grant: Alliance Grants

Université du Québec à Montréal

$108,100.00

Assisting the Pilot: Towards a Cognitive Cockpit (C-Pilot)

EF 2024-25

Résumé
Piloting an aircraft is a complex task, requiring pilots to be supported by reliable artificial systems. However, the resolution of critical situations that arise in an aircraft still depends on the pilots, who must intervene by assuming manual control of the aircraft if necessary. Flight safety can therefore depend on the cognitive load of pilots, who are subject to a high flow of information that can lead to errors. In the face of possible degradations in pilot performance resulting from information overload, it becomes useful for pilots to benefit from cognitive assistance. Our previous NSERC-Alliance Pilot-AI project (2020-2022, in partnership with Bombardier, CAE, BMU, Université de Montréal (UdeM), UQAM and CRIAQ), set up methods and tools to measure pilots' cognitive load under different simulated flight conditions, and developed preliminary tools to create pilot models. The present project (named C-Pilot for Cognitive-Pilot, in partnership with Bombardier, BMU, Cognitive Group, UQAM, UdeM, UQAC, ETS and CRIAQ) aims to provide human-machine collaboration enhanced by AI-based models to improve safety in future digital aviation systems by learning to categorize pilot behavior during different phases of flight, creating artificial co-pilots in the form of intelligent agents capable of monitoring the pilot's cognitive state in real time, and detecting and remedying attention-deficit tasks. These intelligent agents will play the role of a virtual pilot capable of reflecting at all times not only the pilot's actions but also his cognitive state, and of a pilot's companion, a true artificial co-pilot, capable of detecting by pilot biometrics tasks at risk due to a lack of attention. The impact of this project will be to help maintain and enhance Quebec and Canadian leadership in two key sectors of our economy and society: artificial intelligence and aerospace. The project will train students specializing in AI, human-machine collaboration, human assistance using AI techniques, and simulation, applied to the aeronautical field. It will also help train the next generation of engineers for the aviation systems of the future.
Programme
Alliance Grants
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
587057-2023
Name nom
Nkambou, Roger R
Department département
Informatique
Organization id
57
Institution établissement
Université du Québec à Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
108100
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2717
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Modelling and simulation studies
Research subject fr
Études de modélisation et de simulation
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Assisting the Pilot: Towards a Cognitive Cockpit (C-Pilot)
Keywords
attention measurement and management; cockpit design; cognitive agents; cognitive assistance; cognitive state prediction; cognitive workload; flight simulation; machine learning on flight data; piloting profile; piloting task modeling
Application summary
Piloting an aircraft is a complex task, requiring pilots to be supported by reliable artificial systems. However, the resolution of critical situations that arise in an aircraft still depends on the pilots, who must intervene by assuming manual control of the aircraft if necessary. Flight safety can therefore depend on the cognitive load of pilots, who are subject to a high flow of information that can lead to errors. In the face of possible degradations in pilot performance resulting from information overload, it becomes useful for pilots to benefit from cognitive assistance. Our previous NSERC-Alliance Pilot-AI project (2020-2022, in partnership with Bombardier, CAE, BMU, Université de Montréal (UdeM), UQAM and CRIAQ), set up methods and tools to measure pilots' cognitive load under different simulated flight conditions, and developed preliminary tools to create pilot models. The present project (named C-Pilot for Cognitive-Pilot, in partnership with Bombardier, BMU, Cognitive Group, UQAM, UdeM, UQAC, ETS and CRIAQ) aims to provide human-machine collaboration enhanced by AI-based models to improve safety in future digital aviation systems by learning to categorize pilot behavior during different phases of flight, creating artificial co-pilots in the form of intelligent agents capable of monitoring the pilot's cognitive state in real time, and detecting and remedying attention-deficit tasks. These intelligent agents will play the role of a virtual pilot capable of reflecting at all times not only the pilot's actions but also his cognitive state, and of a pilot's companion, a true artificial co-pilot, capable of detecting by pilot biometrics tasks at risk due to a lack of attention. The impact of this project will be to help maintain and enhance Quebec and Canadian leadership in two key sectors of our economy and society: artificial intelligence and aerospace. The project will train students specializing in AI, human-machine collaboration, human assistance using AI techniques, and simulation, applied to the aeronautical field. It will also help train the next generation of engineers for the aviation systems of the future.