The out-of-the-loop Brain: A neuroergonomic approach of the human automation interaction
Autor: | Bertille Somon, Aïsha Sahaï, Jonas Gouraud, Bruno Berberian |
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Přispěvatelé: | ONERA - The French Aerospace Lab [Salon], ONERA |
Rok vydání: | 2017 |
Předmět: |
Engineering
Empirical data NEUROERGONOMIE AUTOMATION 050105 experimental psychology [SPI.AUTO]Engineering Sciences [physics]/Automatic 03 medical and health sciences 0302 clinical medicine SAFER Phenomenon SORTIE DE BOUCLE Neuroergonomics 0501 psychology and cognitive sciences [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Everyday life VIGILANCE business.industry 05 social sciences GRASP Automation NEUROERGONOMICS [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF] Risk analysis (engineering) Control and Systems Engineering INTERACTION HOMME AUTOMATISME OOTL PHENOMENON Artificial intelligence business 030217 neurology & neurosurgery Software |
Zdroj: | Annual Reviews in Control Annual Reviews in Control, Elsevier, 2017, 44, pp.303-315. ⟨10.1016/j.arcontrol.2017.09.010⟩ |
ISSN: | 1367-5788 |
Popis: | International audience; The world surrounding us has become increasingly technological. Nowadays, the influence of automation is perceived in each aspect of everyday life. If automation makes some aspects of life easier, faster and safer, empirical data also suggests that it could have negative performance and safety consequences regarding human operators, a set of difficulties called the “out-of-the-loop” (OOTL) performance problem. However, after decades of research, this phenomenon remains difficult to grasp and counter. In this paper, we propose a neuroergonomics approach to treat this phenomenon. We first describe how automation impacts human operators. Then, we present the current knowledge relative to this OOTL phenomenon. Finally, we describe how recent insights in neurosciences can help characterize, quantify and compensate this phenomenon. |
Databáze: | OpenAIRE |
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