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Memorias de investigación
Artículos en revistas:
AN AIR TRAFFIC CONTROLLER PSYCHOLOGICAL MODEL WITH AUTOMATION
Año:2017
Áreas de investigación
  • Ingeniería mecánica, aeronaútica y naval
Datos
Descripción
This paper presents research conducted on a psychological model within the AUTOPACE project (Grant 699238) funded by the SESAR Joint Undertaking as part of SESARa 2020 Exploratory Research Programme within the framework of the EU?s Horizon 2020 research and innovation programme. The model aims to predict the effects of automation on the Air Traffic Controller (ATCo) Mental Workload (MWL) in the future scenarios where automated systems will perform tasks that are currently under the responsibility of an ATCo. Following the new attentional theories, the model predicts that automation will not only have consequences on the mental resources demanded by the task but it will also increase or decrease the ATCo mental activation and engagement with the task. To analytically validate the hypotheses of the model, a computational prototype is being researched. The paper presents some results obtained with an intermediate version of this computational prototype based on the modelling of the mental demanded resources. AUTOPACE ATCo psychological model will be used for investigation on the required new competences and the training strategies to ensure that the ATCo MWL is appropriate to ensure a safe operation.
Internacional
Si
JCR del ISI
No
Título de la revista
Proceedings of the EASN Association Conference Series
ISSN
2523-5052
Factor de impacto JCR
Información de impacto
Volumen
DOI
Número de revista
7
Desde la página
1187
Hasta la página
1200
Mes
SEPTIEMBRE
Ranking
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Participantes
  • Autor: Victor Fernando Gomez Comendador (UPM)
  • Autor: Rosa Maria Arnaldo Valdes (UPM)
  • Autor: Alvaro Rodriguez Sanz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Navegación Aérea
  • Departamento: Sistemas Aeroespaciales, Transporte Aéreo y Aeropuertos
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