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Authors: Raissa Pokam Meguia 1 ; Christine Chauvin 2 and Serge Debernard 3

Affiliations: 1 Renault, France ; 2 Université Bretagne Sud, France ; 3 Université de Valenciennes, France

Keyword(s): Autonomous vehicles, Human-Machine Co-operation, Human-machine interface, Augmented Reality.

Abstract: How well should an interface be designed in order to meet the information needs of the user? The answer to this question is a great challenge in intelligent systems, particularly in highly automated vehicles. In this paper, we present our PhD work advance in interface design, for autonomous vehicles of level 3, with a cutting-edge technology, Augmented Reality. We present the criticality of an adaptive interface to enhance driver/autonomous system interactions. We describe the methodology we have adopted for defining information needs and conveying them at the right time and in the shape to the driver. Then, we present the actual stage of the work. Finally, we report on the expected outcome of the whole research project.


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Paper citation in several formats:
Pokam Meguia, R.; Chauvin, C. and Debernard, S. (2015). Augmented Reality Interface Design for Autonomous Driving. In Doctoral Consortium - DCINCO, (ICINCO 2015) ISBN , pages 22-33. DOI: 10.5220/0005578800220033

author={Raissa {Pokam Meguia}. and Christine Chauvin. and Serge Debernard.},
title={Augmented Reality Interface Design for Autonomous Driving},
booktitle={Doctoral Consortium - DCINCO, (ICINCO 2015)},


JO - Doctoral Consortium - DCINCO, (ICINCO 2015)
TI - Augmented Reality Interface Design for Autonomous Driving
SN -
AU - Pokam Meguia, R.
AU - Chauvin, C.
AU - Debernard, S.
PY - 2015
SP - 22
EP - 33
DO - 10.5220/0005578800220033

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