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The effect of speed-stress on driving behavior: A diffusion model analysis.
Yonatan Vanunu1, Roger Ratcliff2
1The Ohio State University, 1835 Neil Avenue, Columbus, OH, 43210, USA. yyv1984@gmail.com.
Drivers can manage speed-stress by adjusting decision criteria and non-decision processes, maintaining driving accuracy. This study analyzed driver adjustments under speed-stress using a diffusion model.
Area of Science:
- Cognitive Psychology
- Human Factors Engineering
- Transportation Safety
Background:
- Driving requires rapid decision-making, often under pressure.
- Speed-stress can negatively impact choice accuracy.
- Understanding driver adjustments is crucial for road safety.
Purpose of the Study:
- To analyze driver decision-making adjustments under speed-stress.
- To investigate the impact of speed-stress on driving task accuracy.
- To apply diffusion model analysis to driver behavior.
Main Methods:
- Participants performed simulated driving tasks (one-choice and two-choice) under speed-stress.
- Speed-stress was induced by response time demands and lead car distance manipulation.
- Diffusion model analysis was used to examine decision process components.
Main Results:
- A speed-accuracy tradeoff was observed, with minimal accuracy loss in a two-choice task.
- Drivers lowered decision criteria and accelerated non-decision processes.
- Evidence accumulation rate increased under speed-stress in a one-choice task.
Conclusions:
- Drivers can adapt to speed-stress with adjustments that minimize accuracy costs.
- Decision criteria and non-decision processes are key to maintaining performance under pressure.
- Simulated driving studies offer insights into real-world driving behavior and safety.
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