Designing Human-Machine Interface for Autonomous Vehicles. Issue 19 (2016)

• Record Type: Journal Article
• Authors: Debernard, S.; Chauvin, C.; Pokam, R.; Langlois, S.
• Is Part Of: IFAC-PapersOnLine. Volume 49:Issue 19(2016)
• Page Start: 609
• Page End: 614
• Publication Date: 2016
• Subjects: driverless vehicles -- Human-Machine Interface -- Cognitive Work Analysis -- Human Machine Cooperation -- Transparency; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2016.10.629
• Languages: English
• ISSNs: 2405-8963

Abstract

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.