Daniel Ndiaye
University of Paris
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Featured researches published by Daniel Ndiaye.
Accident Analysis & Prevention | 2017
Joceline Rogé; Daniel Ndiaye; Isabelle Aillerie; Stéphane Aillerie; Jordan Navarro; Fabrice Vienne
OBJECTIVEnThe aim of this study was to evaluate the visibility of cyclists for motorists in a simulated car driving task.nnnBACKGROUNDnIn several cases involving collisions between cars and cyclists, car drivers failed to detect the latter in time to avoid collision because of their low conspicuity.nnnMETHODn2 groups of motorists (29.2 years old), including 12 cyclist-motorists and 13 non-cyclist-motorists, performed a vulnerable road user detection task in a car-driving simulator. They had to detect cyclists and pedestrians in an urban setting and evaluate the realism of the cyclists, the traffic, the city, the infrastructure, the car driven and the situations. Cyclists appeared in critical situations derived from previous accounts given by injured cyclists and from cyclists observations in real-life situations. Cyclists levels of visibility for car drivers were either high or low in these situations according to the cyclists.nnnRESULTSnRealism scores were similar and high in both groups. Cyclist-motorists had fewer collisions with cyclists and detected cyclists at a greater distance in all situations, irrespective of cyclist visibility. Several mechanisms underlying the cognitive conspicuity of cyclists for car drivers were considered.nnnCONCLUSIONnThe attentional selection of a cyclist in the road environment during car driving depends on top-down processing.nnnAPPLICATIONnWe consider the practical implications of these results for the safety of vulnerable road users and future directions of research.
Consciousness and Cognition | 2018
Guillaume Pepin; Séverine Malin; Christophe Jallais; Fabien Moreau; Alexandra Fort; Jordan Navarro; Daniel Ndiaye; Catherine Gabaude
MW is damaging for tasks requiring sustained and divided attention, for example driving. Recent findings seem to be indicating that off-task thoughts differently disrupt drivers. The present paper delved into characteristics of off-task thoughts to assess their respective detrimental impact on driving. Twenty volunteers had to declare their MW thoughts and get intentionally involved in Problem-Solving Thoughts (PST) according to instructions. Heart rate and oculometric behavior were collected during the two sessions. Results showed that MW and PST led to a fixed gaze. MW might also led to a cognitive effort necessary to switch from task-unrelated to task-related focus. Similarities and differences between intentional and unintentional off-task thoughts were discussed in greater detail. By designing a detection algorithm, it could be possible to detect disruptive MW during risky situations while permitting the mind to wander when the driving demand is low.
Recherche - Transports - Sécurité | 2014
Marion Hay; Nicolas Adam; Daniel Ndiaye; Bertrand Richard; Marie-Laure Bocca; Catherine Gabaude
Maintenir l’autonomie des seniors dans des conditions sures est un enjeu de sante publique. Une auto-estimation correcte des capacites cognitives par les seniors permettrait de reguler correctement la conduite automobile en termes d’exposition au risque d’accident et de modifications des startegies de conduite. Ainsi, il existerait des conducteurs ayant une conscience correcte de leurs capacites et d’autres ayant une conscience erronee, parmi lesquels se distingueraient les sur-estimateurs (SE, presentant un risque eleve d’accident) et les sous-estimateurs (SsE, cessant de conduire prematurement). L’objectif est de comparer l’efficacite d’un entrainement cognitif pur a un entrainement cognitif couple a une immersion sur simulateur, tous deux adresses a des seniors presentant un biais d’auto-estimation. Cent vingt conducteurs âges de 70 ans et plus sont repartis en six groupes : 20 SE et 20 SsE realisant un entrainement cognitif seul, 20 SE et 20 SsE realisant ce meme entrainement cognitif associe a une immersion sur simulateur, et 20 SE et 20 SsE controles. La duree totale de l’entrainement est de 36 heures reparties sur trois mois. Les participants recoivent des retours pour les aider a prendre conscience de leurs capacites. Les benefices sont evalues sur simulateur de conduite et sur route immediatement apres l’entrainement puis par un questionnaire en ligne 3 mois apres la fin de l’entrainement. Le transfert des benefices en conditions reelles de conduite est egalement evalue.
Safety Science | 2015
Joceline Rogé; Vida El Zufari; Fabrice Vienne; Daniel Ndiaye
Transportation Research Part F-traffic Psychology and Behaviour | 2014
Joceline Rogé; Daniel Ndiaye; Fabrice Vienne
BAST - Ageing and Safe Mobility Conference | 2014
Marion Hay; Nicolas Adam; Daniel Ndiaye; Bertrand Richard; Marie-Laure Bocca; Catherine Gabaude
Transportation Research Part F-traffic Psychology and Behaviour | 2018
Alex Lafont; Joceline Rogé; Daniel Ndiaye; Jean-Michel Boucheix
Safety Science | 2018
Joceline Rogé; Sébastien Laurent; Daniel Ndiaye; Isabelle Aillerie; Fabrice Vienne
SELF 2017 - 52 ème Congrès International de la Société d'Ergonomie de Langue Française | 2017
Stéphane Caro; Céline Mateev; Isabelle Aillerie; Stéphane Aillerie; Nguyen-Thong Dang; Daniel Ndiaye; Fabrice Vienne
Metacog 2014 The 2nd International Conference on Metacognition | 2014
Marion Hay; Nicolas Adam; Daniel Ndiaye; Bertrand Richard; Marie-Laure Bocca; Catherine Gabaude