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Evolution of cockPIt operations Levering on cOgnitive compuTing Services

New technologies have allowed pilots to assume more responsibilities reducing the number of some mechanic and repetitive tasks through automation. The flight deck transition to digital computer-based flight management system has s... ver más

31/12/2021

UAB

796K€

Presupuesto del proyecto: 796K€

Líder del proyecto

UNIVERSITAT AUTÒNOMA DE BARCELONA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 1263

Fecha límite participación Sin fecha límite de participación.

Ver 4 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-12-31

JTI-CS2-2018-CFP08-THT-02: Cognitive Computing potential for c...

I+D

Cerrada hace 6 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

4 Participantes

UAB

206.25K€ | Lider

ASLOGIC 2011

234.00K€ | Participante

CRANFIELD UNIVERSITY

259.31K€ | Participante

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Duración del proyecto: 36 meses Fecha Inicio: 2018-12-13
Fecha Fin: 2021-12-31

Líder del proyecto

UNIVERSITAT AUTÒNOMA DE BARCELONA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 1263

Presupuesto del proyecto 796K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto New technologies have allowed pilots to assume more responsibilities reducing the number of some mechanic and repetitive tasks through automation. The flight deck transition to digital computer-based flight management system has shown a reduction of the workload across a variety of tasks. However, there are still several open issues that requires further research and a deeper understanding of pilot cognitive decision making process to guide next steps on aircraft control task sharing between human pilots and machines. Present project proposal will analyse the benefits of cognitive computing assistant and the challenges in key areas such as the relationship between pilot with the surrounding traffic and the aircraft state evolution considering the pressure of the operational context factors such as task responsibilities, situational awareness, and the performance objectives of the mission among others. The dynamics of these interdependencies will be analysed by means of ML techniques identifying the different thresholds that actives a cognitive tasks which will be the baseline to elaborate new symbiosis dynamic structures to improve human-machine information sharing mechanisms. Human-in-the-mesh modelling paradigm relying on cognitive computing technologies will drive the research and innovation efforts to identify the potential changes in pilot roles and task responsibilities that will improve aircraft system reliability and performance, the pathway to automation in the flight deck to simplify the crew interaction with the systems and make tacit knowledge explicit to be accessible and usable for automated, intelligent systems. This proposal consider cockpit operations for man-computer symbiosis as a metaphor for designing decision support systems that enhance human cognitive performance. Furthermore, it will be explored the Strong Cognitive Symbiosis approach which analyses true interdependence rather than simply cooperation between human and machines

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