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Providing contextual information when encountering traffic interruptions during automated driving

Authors :
David Barat
Ebru Dogan
Félicie Rampillon
Luciano Ojeda
Stéphane Feron
Jean-Yves Marteau
Franck Techer
Source :
AutomotiveUI (adjunct)
Publication Year :
2019
Publisher :
ACM, 2019.

Abstract

The complexity of urban driving environment may create frequent interruptions in the course of automated vehicles, which may have adverse effects on driver's mood, and even result in driver-initiated takeovers. A possible way to counteract this is to help drivers reappraise the situation by providing additional information when they encounter interruptions in vehicle's progression. This study aimed at assessing the effect of an HMI enhanced with contextual information on drivers' mood, attitude and behavior compared to a basic HMI. Participants drove the experimental scenario in a driving simulator, once with and once without receiving contextual information. Results are discussed, potential bias is identified, and perspectives are evoked to improve the proposed method.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings
Accession number :
edsair.doi...........c934e6eedfe770eb54a42302e9284903
Full Text :
https://doi.org/10.1145/3349263.3351509