Preprint
Exploring Moral Dilemmas in Simulated Driving Situations Involving the Use of Autonomous Vehicles: A Psychophysiological Approach
Social Science Research Network (SSRN) , Vol.6 December 2024
Elsevier
2024
Abstract
Autonomous vehicles (Avs)are considered a solution to increasing road fatalities worldwide, with moral dilemmas such as the trolley problem and human error adding to an already complex issue. Such psychophysiological factors detected through electroencephalograph (EEG) and electrocardiograph (ECG) may impact the driver performance at the handover stage of autonomous driving and influence behavioural outcomes at a trolley problem scenario. The current research finds the most common response to a driving scenario trolley problem is a non-utilitarian solution, this was consistent across both conditions of active and autonomous driving. EEG failed to yield significant results between the two conditions, the ECG however reported significant findings with a decrease in mean R-R for both conditions across different time periods, indicating an increase in arousal levels consistent with previous research. These findings will be discussed in relation to moral psychology and autonomous driving literature and why ECG, but not EEG, yielded significant findings.
Details
- Title
- Exploring Moral Dilemmas in Simulated Driving Situations Involving the Use of Autonomous Vehicles: A Psychophysiological Approach
- Authors
- Ben Jones (Corresponding Author) - University of Southern QueenslandChristopher N Watling - Queensland University of TechnologyGregoire Larue - University of the Sunshine Coast, Queensland, Road Safety Research CollaborationMark J King - Queensland University of Technology
- Publication details
- Social Science Research Network (SSRN) , Vol.6 December 2024
- Publisher
- Elsevier
- Date published
- 2024
- DOI
- 10.2139/ssrn.5037590
- ISSN
- 1556-5068
- Grant note
- This research was supported (partially) by the Motor Accident Insurance Commission (MAIC) Queensland.
- Organisation Unit
- Road Safety Research Collaboration; School of Law and Society
- Language
- English
- Record Identifier
- 991093497002621
- Output Type
- Preprint
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