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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
