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Descripción
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| Human operation in highly automated environments has been extensively researched finding out that the human-automation interaction presents serious performance drawbacks due to the risk of the ?out of the loop? effect especially in case of automation fail. This paper presents research on a psychological model for Air Traffic Controllers (ATCo) to be computerised to quantitatively predict the automation effects on ATCo performance. The research has been conducted within AUTOPACE project (Grant 699238) funded by the SESAR Joint Undertaking as part of SESAR 2020 Exploratory Research Programme. The psychological model is based on the cognitive system function of an ATCo and the required attentional resources for its functioning. The research includes a preliminary quantitative assessment of the cognitive demand expected for the ATCo in highly automated scenarios (2050 time frame horizon) in nominal and no nominal situations. This assessment has been achieved through (a) fast time simulations of future automation scenarios modelling 2050 concept of operation and; (b) psychological cognitive assessment of the ATCo tasks in such scenarios using an existing computational model, COMETA (COgnitive ModEl for aTco workload Assessment). COMETA results reveal how the functional structure and the functioning of the future ATCo cognitive system drastically change with automation. | |
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Internacional
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Si |
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Nombre congreso
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Inernational Conference on Research in Air Transport ICRAT 18 |
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Tipo de participación
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960 |
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Lugar del congreso
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Castelldefels, Barcelona, España |
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Revisores
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Si |
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ISBN o ISSN
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978-1-4507-1468-6 |
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DOI
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Fecha inicio congreso
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03/09/2018 |
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Fecha fin congreso
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10/12/2018 |
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Desde la página
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3 |
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Hasta la página
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3 |
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Título de las actas
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Proceedings of the 8th Inernational Conference on Research in Air Transport ICRAT 18 |