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 implement 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 automation in future Air Traffic Control (ATC) scenarios on Air Traffic Controller (ATCo) performance. The first step of research activities consists of better comprehension of Out-Of-The-Loop (OOTL) phenomena and of current methods 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 environment 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 project. Finally, the document provides information about the technical implementation of the vigilance and attention measurement that will be used to trigger adaptation of the task environment.

MINIMA project: Detecting and mitigating the negative impact of automation / Berberian, Bruno*; Ohneiser, Oliver; de Crescenzio, Francesca; Babiloni, Fabio; di Flumeri, Gianluca; Hasselberg, Andreas. - STAMPA. - 10275:(2017), pp. 87-105. (Intervento presentato al convegno 14th International Conference, EPCE 2017 Held as Part of HCI International 2017 tenutosi a Vancouver, BC, Canada nel July 9–14, 2017) [10.1007/978-3-319-58472-0_8].

MINIMA project: Detecting and mitigating the negative impact of automation

de Crescenzio, Francesca
Membro del Collaboration Group
;
2017

Abstract

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 implement 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 automation in future Air Traffic Control (ATC) scenarios on Air Traffic Controller (ATCo) performance. The first step of research activities consists of better comprehension of Out-Of-The-Loop (OOTL) phenomena and of current methods 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 environment 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 project. Finally, the document provides information about the technical implementation of the vigilance and attention measurement that will be used to trigger adaptation of the task environment.
2017
Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness. EPCE 2017. Lecture Notes in Computer Science, vol 10275.
87
105
MINIMA project: Detecting and mitigating the negative impact of automation / Berberian, Bruno*; Ohneiser, Oliver; de Crescenzio, Francesca; Babiloni, Fabio; di Flumeri, Gianluca; Hasselberg, Andreas. - STAMPA. - 10275:(2017), pp. 87-105. (Intervento presentato al convegno 14th International Conference, EPCE 2017 Held as Part of HCI International 2017 tenutosi a Vancouver, BC, Canada nel July 9–14, 2017) [10.1007/978-3-319-58472-0_8].
Berberian, Bruno*; Ohneiser, Oliver; de Crescenzio, Francesca; Babiloni, Fabio; di Flumeri, Gianluca; Hasselberg, Andreas
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/628842
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