Back to Search Start Over

The Safety Paradox of Self-Driving Cars

Authors :
Yeh Jun Lee
Jongwon Park
Source :
Asia Marketing Journal, Vol 23, Iss 4 (2022)
Publication Year :
2022
Publisher :
Korean Marketing Association, 2022.

Abstract

Self-driving cars are undergoing extensive road tests and should enter the market within the decade, but consumers continue to worry about the safety of autonomous vehicles—even though most traffic accidents are caused by human errors that are avoidable with automation technology. Four experiments investigated how a vehicle’s automation level affects its perceived safety, why excessive safety concerns prevail, and how they can be mitigated. In all experiments, participants read descriptions of full-automation (Level 5) and high-automation (Level 4) self-driving cars: Participants consistently perceived Level 5 (vs. Level 4) vehicles as less safe. The effect persisted when objective safety information was available. A mediation analysis and a mediation-by-moderation approach suggest that the negative effect of the automation level on perceived safety is driven by the perceived lack of control over driving. Finally, the effect disappeared when participants imagined themselves as passengers rather than drivers, offering a practical implication for managers.

Details

Language :
English
ISSN :
27656500
Volume :
23
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Asia Marketing Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.2d3e32c7466ab1fea9b6f0900622
Document Type :
article
Full Text :
https://doi.org/10.53728/2765-6500.1579