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Analysis of driver behavior has been the purpose of many studies for several years. A new aspect is the introduction of electric vehicles on the car market and the fact drivers are more concerned with their consumptions in EV (Electric Vehicle) due to the lack of the appropriate infrastructures. However, only a few studies focusing on ecological behavior and consumption have been carried out. The primary goal of the present study was to assess empirically the impact of feedback on EV driving behavior involving autonomy management performance. We hypothesized that we could help the driver to manage his autonomy more efficiently if we’d give him feedback on his driving behavior and battery consumption. Our second hypothesis is that participants would allocate more attention on feedback information when they reach a critical battery autonomy situation, so the subjects had to drive a course with 100% and 15% autonomy left. Preliminary results indicate better driver performances and enhanced safety with econometer gauge feedback, probably due to the increased driver control and better applied driver attention.; International audience; Analysis of driver behavior has been the purpose of many studies for several years. A new aspect is the introduction of electric vehicles on the car market and the fact drivers are more concerned with their consumptions in EV (Electric Vehicle) due to the lack of the appropriate infrastructures. However, only a few studies focusing on ecological behavior and consumption have been carried out. The primary goal of the present study was to assess empirically the impact of feedback on EV driving behavior involving autonomy management performance. We hypothesized that we could help the driver to manage his autonomy more efficiently if we’d give him feedback on his driving behavior and battery consumption. Our second hypothesis is that participants would allocate more attention on feedback information when they reach a critical battery autonomy situation, so the subjects had to drive a course with 100% and 15% autonomy left. Preliminary results indicate better driver performances and enhanced safety with econometer gauge feedback, probably due to the increased driver control and better applied driver attention.

International audience; Dans le cadre le cadre du projet GeDriver, cette étude a testé expérimentalement l’efficacité de guidages attentionnels externes, associés à une leçon multimédia préalable, sur l’apprentissage de règles d’éco-conduite. L’apprentissage des règles était effectué sur un simulateur de conduite de voiture éco² dans lequel a été intégré un serious game, avec des parcours réalistes. Trois types de guidage, visuels, auditifs et haptique ont été conçus. Trois groupes de participants avec ou sans guidage et leçon ont conduit sur 4 parcours (i) initial (pré-test), (ii) entrainement aux règle 1, (iii) entrainement aux règles 2, (iv) final (post-test). Le mouvement des yeux des participants était enregistré (système Face-Lab synchronisé aux actions de conduite). Des scores d’éco-conduite, comme la quantité de CO² émise, étaient calculés. Les principaux résultats ont montré l’efficacité de ce court apprentissage pour l’acquisition de règles d’éco-conduite. Après deux sessions d’entraînement de 8 et 10 minutes, les émissions de CO² ont diminué de plus de 10% pour le groupe avec leçon et guidage externes.

International audience; The use of driving simulators is part of RENAULT's approach for eco-driving development. The geDRIVER project objectives were to: develop ECO mode for all, taking into account eco-driving criteria; develop a training business offer and develop specific assistance HMI (Human Machine Interface). In terms of driving simulation, this induced a need to develop a wide range deployment training tools integrating multisensorial feedback, enhanced gameplay for scenario design, and driving analysis tool into ECO² simulator. Several experiments were carried out, in order to evaluate validity of simulation for an eco-driving training purpose. Results show that visual indicators is the most appropriate and that the eco-driving rule "gear up at 2500 rpm" is the most efficient. At last, the simulator appears to be an efficient tool, to understand and integrate eco-driving rules, and to improve economies in terms of CO2 emissions.