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Descripción
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| This paper presents research conducted on a psychological model within the AUTOPACE project (Grant 699238) funded by the SESAR Joint Undertaking as part of SESAR 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. | |
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Internacional
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Si |
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Nombre congreso
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7TH EASN INTERNATIONAL CONFERENCE |
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Tipo de participación
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960 |
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Lugar del congreso
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Varsovia. Polonia |
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Revisores
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Si |
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ISBN o ISSN
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2523-5052 |
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DOI
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Fecha inicio congreso
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27/09/2017 |
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Fecha fin congreso
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29/09/2017 |
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Desde la página
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1 |
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Hasta la página
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2 |
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Título de las actas
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Proceedings of the 7TH EASN INTERNATIONAL CONFERENCE |