Citation

Petersen L, Zhao H, Tilbury DM, Yang XJ, Robert LP. Accid. Reconstr. J. 2019; 29(6): 44-48.

Copyright

(Copyright © 2019, Accident Reconstruction Journal)

DOI

unavailable

PMID

unavailable

Abstract

The success of autonomous driving systems (ADS) relies on the level of trust that human operators have in those systems; human operators must be willing to give up control and rely on ADS for unsupervised driving. This study explores how trust and reliance on ADS is impacted by two types of risk: internal risk (based on uncertainty related to the ADS) and external risk (based on uncertainty related to the driving situation). The study participants are 36 drivers from the Ann Arbor, Michigan area tasked with operating a simulated semi-autonomous vehicle and avoiding collisions while also attending to a visually-engaging secondary task. The authors findings suggest that internal risk reduces trust in the ADS and has a greater impact on trust than does external risk.

Language: en

Keywords

Drivers; Risk assessment; Ann Arbor (Michigan); Autonomous vehicles; Autonomous vehicle guidance; Trust (Psychology)