Predicting a Malicious Stop Sign: Knowledge,Exposure,Trust in AI

Abstract

Get full access to this article

View all access options for this article.

References

Eykholt

Evtimov

Fernandes

Rahmati

Xiao

Prakash

Kohno

Song

(2018). Robust physical-world attacks on deep learning visual classification. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 1625–1634).

Hoff

K. A.

Bashir

(2015). Trust in automation: Integrating empirical evidence on factors that influence trust. Human Factors, 57, 407–434. https://doi.org/10.1177/0018720814547570

Kyriakidis

Happee

De Winter

J. C. F.

(2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127–140. https://doi.org/10.1016/j.trf.2015.04.014

Parasuraman

Riley

(1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors, 39, 230–253. https://doi.org/10.1518/001872097778543886

SAE. (2016). Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. In SAE International (Vol. J3016, pp. 1–12). https://doi.org/10.4271/J3016_201609

Tenhundfeld

N. L.

de Visser

E. J.

Ries

A. J.

Finomore

V. S.

Tossell

C. C.

(2020). Trust and Distrust of Automated Parking in a Tesla Model X. Human Factors, 62, 194–210. https://doi.org/10.1177/0018720819865412