Ethical Decision-Making in Older Drivers During Critical Driving Situations: An Online Experiment
Ethical decision
utilitarianism
Transportation Engineering
Younger participants
Bayesian credible intervals
moral dilemmas
Online experiment
Response time
simulated driving
Visualization
Motor vehicles. Aeronautics. Astronautics
Decision algorithm
Driver behavior
Intelligent vehicles
Moral decision-making
05 social sciences
Moral dilemmas
Catch trials
TL1-4050
Utilitarianism
Younger counterparts
Response choices
Credible interval
driver behavior
Age differences
Simulated driving
ethical decision making
Dual-process theory
Deliberative process
Avatars
Artificial Intelligence and Robotics
Ethical decision-making
Older participants
Effect of placement
age-differences
Lane change
0501 psychology and cognitive sciences
Young individuals
bayesian hierarchical model
Automated vehicles
Bayesian hierarchical model
Pedestrians
Ethics
Geropsychology
Vehicles
Morality
Markov chain monte carlo
Roads
Trolley problem
Young drivers
Older drivers
Bayesian model
Trajectories of change
Road safety
Perceptual speed
Executive control functions
Decision making
DOI:
10.26599/jicv.2023.9210031
Publication Date:
2024-04-22T17:48:25Z
AUTHORS (6)
ABSTRACT
The present study examined the impact of aging on ethical decision-making in simulated critical driving scenarios. 204 participants from North America, grouped into two age groups (18–30 years and 65 years and above), were asked to decide whether their simulated automated vehicle should stay in or change from the current lane in scenarios mimicking the Trolley Problem. Each participant viewed a video clip rendered by the driving simulator at Old Dominion University and pressed the space-bar if they decided to intervene in the control of the simulated automated vehicle in an online experiment. Bayesian hierarchical models were used to analyze participants’ responses, response time, and acceptability of utilitarian ethical decision-making. The results showed significant pedestrian placement, age, and time-to-collision (TTC) effects on participants’ ethical decisions. When pedestrians were in the right lane, participants were more likely to switch lanes, indicating a utilitarian approach prioritizing pedestrian safety. Younger participants were more likely to switch lanes in general compared to older participants. The results imply that older drivers can maintain their ability to respond to ethically fraught scenarios with their tendency to switch lanes more frequently than younger counterparts, even when the tasks interacting with an automated driving system. The current findings may inform the development of decision algorithms for intelligent and connected vehicles by considering potential ethical dilemmas faced by human drivers across different age groups.
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