Moral reasoning and automatic risk reaction during driving
Recent advances in autonomous vehicles promise to revolutionize the transportation system. This perspective has led to new research on a number of open questions, such as how the self-driving system should behave in unavoidable crash situations. Our study aims to contribute to this investigation. In most ongoing research, this question is presented as a moral dilemma, drawing on established research on the trolley dilemma. However, more recent studies have shifted the focus from morality to risk analysis. We investigated the dual contribution of moral judgment and risk analysis in subjects facing dangerous situations. To this end, we use virtual reality to recreate a driving situation that allows subjects to immerse themselves in the road environment. Our results show a strong dissociation between quick decisions, when risk analysis seems to suggest the best choice, and conscious decisions, when proper moral judgment is at stake.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14355558
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Supplemental Notes:
- Copyright © 2021, Springer-Verlag London. The contents of this paper reflect the views of the authors and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
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Authors:
- Lucifora, Chiara
- Grasso, Giorgio Mario
- Perconti, Pietro
- Plebe, Alessio
- Publication Date: 2021-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 705-713
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Serial:
- Cognition, Technology & Work
- Volume: 23
- Issue Number: 4
- Publisher: Springer Verlag
- ISSN: 1435-5558
- EISSN: 1435-5566
- Serial URL: http://link.springer.com/journal/10111
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Decision making; Driving simulators; Ethics; Risk analysis; Virtual reality
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01787918
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 12 2021 5:23PM