Light Virtual Reality systems for the training of conditionally automated vehicle drivers

Abstract : In conditionally automated vehicles, drivers can engage in secondary activities while traveling to their destination. However, drivers are required to appropriately respond, in a limited amount of time, to a takeover request when the system reaches its functional boundaries. In this context, Virtual Reality systems represent a promising training and learning tool to properly familiarize drivers with the automated vehicle and allow them to interact with the novel equipment involved. In this study, the effectiveness of an Head-Mounted display (HMD)-based training program for acquiring interaction skills in automated cars was compared to a user manual and a fixed-base simulator. Results show that the training system affects the takeover performances evaluated in a test drive in a high-end driving simula-tor. Moreover, self-reported measures indicate that the HMD-based training is preferred with respect to the other systems.
Type de document :
Communication dans un congrès
IEEE Virtual Reality, Mar 2018, Reutlingen, Germany
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal-mines-paristech.archives-ouvertes.fr/hal-01788614
Contributeur : Alexis Paljic <>
Soumis le : mercredi 9 mai 2018 - 11:36:05
Dernière modification le : lundi 12 novembre 2018 - 11:02:37
Document(s) archivé(s) le : lundi 24 septembre 2018 - 15:57:42

Fichier

ieee-poster-with-image.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01788614, version 1

Collections

Citation

Daniele Sportillo, Alexis Paljic, Luciano Ojeda, Philippe Fuchs, Vincent Roussarie. Light Virtual Reality systems for the training of conditionally automated vehicle drivers. IEEE Virtual Reality, Mar 2018, Reutlingen, Germany. 〈hal-01788614〉

Partager

Métriques

Consultations de la notice

48

Téléchargements de fichiers

84