Abstract

International audience; In this paper, we present the preliminary steps conducted in the framework of the research project Mitigating Negative Impacts of Monitoring high levels of Automation (MINIMA). The main objectives of MINIMA are i) to develop vigilance and attention neuro-physiological indexes, and ii) to im-plement them in a system that can adapt its behavior and guide the operator’s attention. The goal is to mitigate negative impacts of the foreseen increasing au-tomation in future Air Traffic Control (ATC) scenarios on Air Traffic Control-ler (ATCo) performance. The first step of research activities consists of better comprehension of Out-Of-The-Loop (OOTL) phenomena and of current meth-ods to measure and compensate such effects. Based on this State of the Art, we propose the MINIMA concept, i.e. a dynamic adaptation of the task environ-ment which is foreseen as a major requirement to keep the human ‘in the loop’, perfectly aware of the traffic situation. In the second part of this paper, we give details about the highly automated Terminal Manoeuvring Area selected as case study. Additionally, we describe the adaptation mechanisms that are planned to be implemented into this task environment and analyzed in the MINIMA pro-ject. Finally, the document provides information about the technical implemen-tation of the vigilance and attention measurement that will be used to trigger adaptation of the task environment.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-319-58472-0_8 under the license http://www.springer.com/tdm
https://hal.archives-ouvertes.fr/hal-01636980/document,
https://hal.archives-ouvertes.fr/hal-01636980/file/DCSD17052.1510326049_postprint.pdf
https://core.ac.uk/display/132839523,
https://elib.dlr.de/108025,
https://cris.unibo.it/handle/11585/628842,
https://dblp.uni-trier.de/db/conf/hci/hci2017-5.html#BerberianOCBFH17,
https://rd.springer.com/chapter/10.1007/978-3-319-58472-0_8,
https://academic.microsoft.com/#/detail/2615365713
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Document information

Published on 08/07/17
Accepted on 08/07/17
Submitted on 08/07/17

Volume 2017, 2017
DOI: 10.1007/978-3-319-58472-0_8
Licence: CC BY-NC-SA license

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