Charting the Edges of Human Performance

Autor: Alia Lemkadden, Jim Nixon, Matthias Wies, Rebecca Charles, Charles-Alban Dormoy, Barry Kirwan, Theodore Letouze, Nicolas Maille, Daniele Ruscio, Carsten Schmidt-Moll
Přispěvatelé: Eurocontrol Experimental Centre, Deutsches Zentrum für Luft- und Raumfahrt [Braunschweig] (DLR), Cranfield University, Centre Aquitain des Technologies de l'Information et Electroniques (CATIE), COGNITIQUE, Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Ecole Nationale Supérieure de Cognitique (ENSC), Institut Polytechnique de Bordeaux, DTIS, ONERA [Salon], ONERA
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: MATEC Web of Conferences
MATEC Web of Conferences, EDP sciences, 2019, 304, pp.06007. ⟨10.1051/matecconf/201930406007⟩
MATEC Web of Conferences, Vol 304, p 06007 (2019)
ISSN: 2261-236X
DOI: 10.1051/matecconf/201930406007⟩
Popis: In the Horizon 2020 funded Future Sky Safety programme, the Human Performance Envelope project pushed airline pilots to the edges of their performance in real-time cockpit simulations, by increasing stress and workload, and decreasing situation awareness. The aim was to find out how such factors interact, and to detect the edges of human performance where some form of automation support should be employed to ensure safe continued flight. A battery of measures was used, from behavioural to physiological (e.g. heart rate, eye tracking and pupil dilation), to monitoring pilot performance in real time. Several measures – e.g. heart rate, heart rate variability, eye tracking, cognitive walkthrough, and Human Machine Interface (HMI) usability analysis – proved to be useful and relatively robust in detecting performance degradation, and determining where changes in information presentation are required to better support pilot performance in challenging situations. These results led to proposed changes in a prototype future cockpit human-machine interface, which were subsequently validated in a final simulation. The results also informed the development of a ‘Smart-Vest’ that can be worn by pilots to monitor a range of signals linked to performance.
Databáze: OpenAIRE