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Evolution of cockPIt operations Levering on cOgnitive compuTing Services

Objective

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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Coordinator

UNIVERSITAT AUTONOMA DE BARCELONA

Address

Campus De La Uab Bellaterra
08193 Cerdanyola Barcelona

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 206 250

Participants (3)

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ASLOGIC 2011 SL

Spain

EU Contribution

€ 234 000

CRANFIELD UNIVERSITY

United Kingdom

EU Contribution

€ 259 306,25

CENTRE DE VISIO PER COMPUTADOR

Spain

EU Contribution

€ 96 500

Project information

Grant agreement ID: 831993

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2021

Funded under:

H2020-EU.3.4.5.10.

  • Overall budget:

    € 796 056,25

  • EU contribution

    € 796 056,25

Coordinated by:

UNIVERSITAT AUTONOMA DE BARCELONA

Spain