1. Selection of Measurement Method for Detection of Driver Visual Cognitive Distraction: A Review
- Author
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Aamir Saeed Malik, Rana Fayyaz Ahmad, Naufal M. Saad, Christophe Guillet, Frédéric Merienne, Norhasliza Mohamad Yusoff, Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Universiti Teknologi PETRONAS (UTP), Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, and Universiti Teknologi PETRONAS
- Subjects
cognition ,General Computer Science ,Synthèse d'image et réalité virtuelle [Informatique] ,Computer science ,detection ,Driving distraction ,[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing ,03 medical and health sciences ,Cognition ,0302 clinical medicine ,[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC] ,Distraction ,0502 economics and business ,11. Sustainability ,Selection (linguistics) ,General Materials Science ,Computer vision ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,Electrical and Electronic Engineering ,050210 logistics & transportation ,Measurement method ,business.industry ,Cognitive distraction ,05 social sciences ,Perspective (graphical) ,General Engineering ,Eye movement ,[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR] ,[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] ,Detection ,Interface homme-machine [Informatique] ,visual ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Artificial intelligence ,Visual ,business ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,lcsh:TK1-9971 ,Traitement du signal et de l'image [Sciences de l'ingénieur] ,030217 neurology & neurosurgery ,Cognitive psychology - Abstract
International audience; Driving distraction is a topic of great interest in the transport safety-research community, because it is now a primary cause of road accidents. A recent report has revealed that distraction is more alarming than previously thought, and a suitable measurement to effectively detect distraction is required. Most agree that driving distraction actually comprises the simultaneous interaction of two or more types of distraction. The purpose of this paper is, therefore, to determine the promising method for measuring visual cognitive distraction. We discuss the five common measurement methods for visual and cognitive driving distraction, which include driving performance, driver physical measures, driver biological measures, subjective reports, and hybrid measures. Hybrid measurement of driver's physical measures (e.g., eye movement) and driver's biological measures (e.g., electroencephalogram) is better than other methods at detecting types of visual cognitive distraction. This new perspective on measurement methods will help the field of transport safety to determine the best means of detecting and measuring the effect of visual cognitive distraction.
- Published
- 2017
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