Selection of Measurement Method for Detection of Driver Visual Cognitive Distraction: A Review
TypeArticles dans des revues avec comité de lecture
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.
Showing items related by title, author, creator and subject.
ALYAN, Emad; SAAD, Naufal M.; KAMEL, Nidal; YUSOFF, Mohd Zuki; ZAKARIYA, Mohd Azman; RAHMAN, Mohammad Abdul; GUILLET, Christophe; MERIENNE, Frederic (MDPI, 2021)This study aims to investigate the effects of workplace noise on neural activity and alpha asymmetries of the prefrontal cortex (PFC) during mental stress conditions. Workplace noise exposure is a pervasive environmental ...
BENSEKKA, Chakib Arslane; GUILLET, Christophe; MERIENNE, Frédéric; POZZO, Thierry (Elsevier, 2017)The motion capture systems are increasingly used for biomedical purposes. In order to recognize and classify the movements, however whole-body movements using passive markers, generate a huge amount of data. Can topological ...
The Role of a Novel Discrete-Time MRAC Based Motion Cueing on Loss of Control at a Hexapod Driving Simulator AYKENT, Baris; PAILLOT, Damien; MERIENNE, Frédéric; GUILLET, CHRISTOPHE; KEMENY, Andras (Scientific Research Publishing Inc., 2015)The objective of this paper is to present the advantages of Model reference adaptive control (MRAC) motion cueing algorithm against the classical motion cueing algorithm in terms of biome- chanical reactions of the ...
NOUBISSI, Justin-Hervé; GUILLET, Christophe; MARTINEZ, Jean-Luc; MERIENNE, Frédéric (IEEE, 2012)Remote access to large meshes is the subject of studies since several years. We propose in this paper a contribution to the problem of remote mesh viewing. We work on triangular meshes. After a study of existing methods ...
Motion sickness evaluation and comparison for a static driving simulator and a dynamic driving simulator AYKENT, Baris; MERIENNE, Frédéric; GUILLET, Christophe; PAILLOT, Damien; KEMENY, Andras (SAGE, 2014-01-27)This paper deals with driving simulation and in particular with the important issue of motion sickness. The paper proposes a methodology to evaluate the objective illness rating metrics deduced from the motion sickness ...