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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Evaluation Of The Effectiveness Of A Gaze-Based Training Intervention On Latent Hazard Anticipation Skills For Young Drivers: A Driving Simulator Study, Yusuke Yamani, Pinar Biçaksiz, Dakota B. Palmer, Nathan Hatfield, Siby Samuel
Evaluation Of The Effectiveness Of A Gaze-Based Training Intervention On Latent Hazard Anticipation Skills For Young Drivers: A Driving Simulator Study, Yusuke Yamani, Pinar Biçaksiz, Dakota B. Palmer, Nathan Hatfield, Siby Samuel
Psychology Faculty Publications
A PC-based training program (Road Awareness and Perception Training or RAPT; Pradhan et al., 2009), proven effective for improving young novice drivers' hazard anticipation skills, did not fully maximize the hazard anticipation performance of young drivers despite the use of similar anticipation scenarios in both, the training and the evaluation drives. The current driving simulator experiment examined the additive effects of expert eye movement videos following RAPT training on young drivers' hazard anticipation performance compared to video-only and RAPT-only conditions. The study employed a between-subject design in which 36 young participants (aged 18-21) were equally and randomly assigned to one …
Human System Engineering Applications From Distracted Driving Simulations, Holly A.H. Handley, Cansu Kandemir, S. Long (Ed.), E.-H. Ng (Ed.), C. Downing (Ed.)
Human System Engineering Applications From Distracted Driving Simulations, Holly A.H. Handley, Cansu Kandemir, S. Long (Ed.), E.-H. Ng (Ed.), C. Downing (Ed.)
Engineering Management & Systems Engineering Faculty Publications
Most of the studies to explore the impact of distracted driving have been descriptive in nature; i.e. the research is conducted in naturalistic settings to evaluate the performance of the driver with and without distracters. However simulation models can also be used that predict the workload for driving tasks. Using concepts from process modeling, baseline models of driving tasks can be created for different driving sequences that include the associated fine motor, visual and cognitive human resources. These models can then be used to evaluate incidents of workload overload caused by different distracters, from both the internal and external vehicle …