Using simulation-software-generated animations to investigate attitudes towards autonomous vehicles accidents

Zhang, Qiyuan, Wallbridge, Christopher ORCID: https://orcid.org/0000-0001-9468-122X, Morgan, Phillip L ORCID: https://orcid.org/0000-0002-5672-0758 and Jones, Dylan M ORCID: https://orcid.org/0000-0001-8783-5542 2022. Using simulation-software-generated animations to investigate attitudes towards autonomous vehicles accidents. Procedia Computer Science 207 , pp. 3516-3525. 10.1016/j.procs.2022.09.410

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Abstract

Road accidents involving autonomous vehicles are inevitable and have the potential to damage the public's confidence in the technology and ultimately result in its disuse. It's important to understand how people react to such incidents and the influencing factors of blame attribution and trust restoration. Research in this field has started to grow but faces a huge methodological challenge, which is to develop high-fidelity experimental stimuli as realistic representations of accident scenarios in order to elicit valid reactions from human participants. The present paper reviews and evaluates several existing methods used in the research field before proposing an alternative method of generating animated accident sequence using driving simulation software. It is argued that this method strikes a good balance of fidelity, versatility and cost-effectiveness. We also present some preliminary evidence for the effectiveness of variable manipulation using such a methodology.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Psychology
Publisher:	Elsevier
ISSN:	1877-0509
Funders:	ESRC
Date of First Compliant Deposit:	20 December 2022
Last Modified:	05 Jan 2024 03:21
URI:	https://orca.cardiff.ac.uk/id/eprint/155014

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