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Exploration of the acceptability of different behaviors of an autonomous vehicle in so-called conflict situations.

Authors :
Nativel-Fontaine G
Lespinet-Najib V
Cazes R
Dupetit C
De Gasquet C
Chevrie M
Aïoun F
Ojeda L
Source :
Accident; analysis and prevention [Accid Anal Prev] 2023 Jun; Vol. 186, pp. 107041. Date of Electronic Publication: 2023 Mar 30.
Publication Year :
2023

Abstract

The acceptability of autonomous vehicles is an important issue for car manufacturers. The subject of this work attempts to address this issue in the context of conflict situations in urban environments. We present the results of a preliminary study that was conducted to investigate the effects of the driving mode and context on the acceptability of the behavior of an autonomous vehicle. We thus measured acceptability on 30 drivers confronted with three driving modes (defensive, aggressive, and transgressive) as well as different situations constituted by the most common urban intersections in France. We then formulated hypotheses on the effects that the driving mode, the context, or the socio-demographic characteristics of the passengers may have on their acceptability of the autonomous vehicle behavior. In the context of our study, the driving mode of the vehicle was the most influential parameter on the level of acceptability assessed by the participants. The type of intersection used did not result in a significant difference, nor did the socio-demographic characteristics studied. The results of these works allow an interesting first approach and lead us to guide our future works on the study of the parameters involved in the driving modes of autonomous vehicles.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1879-2057
Volume :
186
Database :
MEDLINE
Journal :
Accident; analysis and prevention
Publication Type :
Academic Journal
Accession number :
37003163
Full Text :
https://doi.org/10.1016/j.aap.2023.107041