Reference number : 180-2021-2022-Q2-CFPMN2-037, amendment number : 1, agreement type : C, recipient legal name : THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING / MCGILL UNIVERSITY, recipient country : CA, recipient province : QC, recipient city : Montreal|Montréal, recipient postal code : H3A 0G4, program name english : Innovation for Defence Excellence and Security Program - Innovation Networks, program name french : Programme d’innovation pour la défense, l’excellence et la sécurité - Réseaux d'innovation, program purpose english : Collaborate with academic and private sector partners to build a network of expertise to support Canada’s current and future defence and security needs., program purpose french : Collaborez avec des partenaires des secteurs universitaire et industriel afin de mettre en place un réseau d’expertise pour soutenir les besoins actuels et futurs du Canada en matière de défense et de sécurité., agreement title english : Cooperative Network of Autonomous Unmanned Vehicles Protection, Trustworthiness, and Resilient Recovery Subject to Faults and Cyber Attacks, agreement title french : Réseau collaboratif de protection, fiabilité et récupération résiliente des véhicules autonomes sans pilote face aux défaillances et aux cyberattaques., agreement number : CFPMN2-037, agreement value : 1499577.0, agreement start date : 2019-10-08, agreement end date : 2023-10-07, description english : The Micro-net will develop new methods to support the systematic design of mixed initiative systems (MIS) for effective collaboration between humans and autonomous systems (AS). This project will develop algorithms that optimize the performance of human-AS teams over time; AS that learn the human’s cognitive state and preferences and adapt accordingly; AS that trade off system performance with ease of understanding of behaviour; and adaptive interfaces that change based on the cognitive and affective state of the operator, which will ultimately promote specificity of trust and transparency., description french : Le projet développera de nouvelles méthodes pour soutenir la conception systématique de systèmes d'initiative mixte pour une collaboration efficace entre les humains et les systèmes autonomes (SA). Ce projet permettra également de développer des algorithmes qui optimisent les performances des équipes homme-SA au fil du temps ; des SA qui apprennent l'état cognitif et les préférences de l'homme et s'adaptent en conséquence ; des SA qui font un compromis entre les performances du système et la facilité de compréhension du comportement ; et des interfaces adaptatives qui changent en fonction de l'état cognitif et affectif de l'opérateur, ce qui favorisera finalement la spécificité de la confiance et la transparence., expected results english : The objective of this Project is to develop new methods to support the systematic design of mixed initiative systems for effective collaboration between humans and autonomous systems from a Solution Readiness Level (SRL) 2 to SRL 4. The proposed research will focus on optimizing human-machine interactions where automation takes into account the cognitive state of the human operator, and the user interface allows both humans and the machines to communicate their state, decision, and actions in a way that is transparent and easily processed by the other party. This will ultimately lower the barrier to adoption of AS by increasing performance, reliability, flexibility and reducing the risks of catastrophic failures., expected results french : nan, additional information english : nan, additional information french : nan, owner organization : dnd-mdn, owner organization title : National Defence | Défense nationale