Principles of transparency for autonomous vehicles: first results of an experiment with an augmented reality human–machine interface

Autor: Sabine Langlois, Serge Debernard, Raissa Pokam, Christine Chauvin
Přispěvatelé: IRT SystemX (IRT SystemX), Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Technocentre Renault [Guyancourt], RENAULT
Rok vydání: 2019
Předmět:
Zdroj: Cognition, Technology and Work
Cognition, Technology and Work, Springer Verlag, 2019, 21 (4), pp.643-656. ⟨10.1007/s10111-019-00552-9⟩
ISSN: 1435-5566
1435-5558
DOI: 10.1007/s10111-019-00552-9
Popis: Highly automated driving allows the driver to temporarily delegate the driving task to the autonomous vehicle. The challenge is to define the information that needs to be displayed to the driver in this mode, to let him be able to take over properly. This study investigates the automation transparency to ensure a meta-cooperation between the driver and the automation and the way to convey information to the driver using Augmented Reality according to some transparency principles. Therefore, among 45 participants, we evaluated five human–machine interface (HMI) in which some or all of the following functions were integrated: information acquisition, information analysis, decision-making and action execution. To validate our transparency principles, we assessed Situation Awareness, discomfort feeling, and the participants’ preferences. Even though there is no convergence in the first results, it appears clearly that no transparency in the HMI does not help to understand the environment. Additionally, it appears that “information acquisition” and “action execution” functions are quite necessary. Furthermore, the HMI with the high level of transparency was preferred by the participants. However, more analysis is required to obtain final results.
Databáze: OpenAIRE
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