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Conference papers

Designing Human-Machine Interface for Autonomous Vehicles

Serge Debernard 1, 2 C. Chauvin 2 Raïssa Pokam Meguia 3, 1 Sabine Langlois 3
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : This paper deals with Human-Machine Interface (HMI) design for autonomous vehicles. This automation level involves automated driving phases as well as transition phases where the driver has to reengage in the driving task. Each phase requires an appropriate interface to allow the driver to establish accurate situation awareness. The paper presents a methodology aiming to answer the following questions: what should be displayed, how and when? This methodology relies on the Cognitive Work Analysis framework as well as on the notions of Human-Machine Cooperation and Transparency. Taking the example of the “lane change” function, it leads to identify and to categorize the information to be displayed in order to make “transparent” the autonomous system.
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Contributor : Christine Chauvin Connect in order to contact the contributor
Submitted on : Tuesday, December 13, 2016 - 10:39:39 AM
Last modification on : Monday, March 14, 2022 - 11:08:12 AM

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Serge Debernard, C. Chauvin, Raïssa Pokam Meguia, Sabine Langlois. Designing Human-Machine Interface for Autonomous Vehicles. 13th IFAC Symposium on Analysis, Design, and Evaluation ofHuman-Machine Systems, Tetsuo Sawaragi, Aug 2016, Kyoto, Japan. pp.609 - 614, ⟨10.1016/j.ifacol.2016.10.629⟩. ⟨hal-01415434⟩



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