Descripción del proyecto
Un nuevo asistente personal que permite a los pilotos rendir al máximo
En la actualidad, la frase «piloto automático» se utiliza por todas partes. En la mayoría de los casos, se refiere a ejecutar una secuencia de acciones sin pensar en ellas y no a su significado oficial, el control automático de la dirección de un barco o un vehículo aeroespacial. Aunque esto hace que el «pilotaje automático» parezca algo sencillo y trivial, sustituir la complicada toma de decisiones que realiza un piloto por una máquina no es una tarea fácil. El proyecto E-PILOTS; financiado con fondos europeos, examinará las posibilidades de los asistentes inteligentes de computación cognitiva para los pilotos, centrándose en las ventajas de una relación simbiótica interdependiente, más que en una sustitución o separación de tareas, para mejorar la fiabilidad y el rendimiento.
Objetivo
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
Ámbito científico
Programa(s)
Régimen de financiación
CS2-RIA - Research and Innovation actionCoordinador
08193 Cerdanyola Del Valles
España