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.
CITATION STYLE
Berberian, B., Ohneiser, O., de Crescenzio, F., Babiloni, F., di Flumeri, G., & Hasselberg, A. (2017). MINIMA project: Detecting and mitigating the negative impact of automation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10275 LNAI, pp. 87–105). Springer Verlag. https://doi.org/10.1007/978-3-319-58472-0_8
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