Extended Evaluation of Training Programs to Accelerate Hazard Anticipation Skills in Novice Teen Drivers [supporting dataset]
The objective of this research effort was to evaluate two driver training programs by examining young driver performance and eye movements in a driving simulator. Training program content was assessed and potential hazards were selected across both programs for inclusion in the simulator drives. These were implemented as potential hazards that did not manifest. Each study drive included the same number and types of driving situations, though the order of appearance and scenery details varied by study drive. Teens ages 15 and 16 completed a baseline study drive within two weeks of obtaining a license allowing them to drive independently without a supervisor in the vehicle. Participants were randomly assigned to one of the training conditions or to control (no training). Those assigned to training completed the respective program immediately after the baseline study drive. Participants completed a second study drive after six weeks of independent driving experience. Funding from the Safety Research Using Simulation University Transportation Center (SAFER-SIM UTC) to conduct an extended evaluation supported a third study drive that occurred after approximately 24 weeks of independent driving. At each visit, participants completed a different version of the study drive. During all study drives, participants wore a head-mounted eye tracker and simulator driving performance was recorded. Eye movement data was manually coded for a select set of driving events. In addition, the eye and simulator data were combined for three events to create a composite measure based on Endsley’s model of situation awareness. Generally, the analysis of driver attention and driving mitigation of potential hazards reveled few significant differences among the training and control conditions. Among the significant findings observed for Accelerated Curriculum to Create Effective Learning (ACCEL), there seemed to be a positive impact with respect to hazard anticipation and mitigation. However, ACCEL was not found to improve attention maintenance relative to control during a phone dialing task. The significant results for Perceptual Adaptive Learning Module (PALM) training suggested it may be effective at helping novice drivers identify, monitor, and respond to potential hazards, especially for those hazards directly represented in the PALM training. (2021-03-01)
- Dataset URL:
- Record URL:
- Record URL:
- Dataset URL:
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Supplemental Notes:
- The dataset supports report: Extended Evaluation of Training Programs to Accelerate Hazard Anticipation Skills in Novice Teens Drivers, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
University of Iowa, Iowa City
National Advanced Driving Simulator, 2401 Oakdale Blvd
Iowa City, IA United States 52242-5003University of Iowa, Iowa City
Hank Virtual Environments Lab
Iowa City, IA United StatesSafety Research Using Simulation University Transportation Center (SaferSim)
University of Iowa
Iowa City, IA United States 52242Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Authors:
- Plumert, Jodie M
- 0000-0002-2150-7922
- Reyes, Michelle
- 0000-0002-8770-5593
- O'Neal, Elizabeth E
- 0000-0002-3934-4009
- Vecera, Shaun
- 0000-0002-6623-1106
- Allen, Shawn
- 0000-0003-2457-1978
- McGehee, Daniel
- 0000-0002-7019-3317
- Publication Date: 2021-8-11
Language
- English
Media Info
- Media Type: Dataset
- Dataset: Version: 1.0 Integrity Hash: UNF:6:CtRObJsrwtIURWTGyJhVWw== [fileUNF]
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Dataset publisher:
Harvard Dataverse
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Subject/Index Terms
- TRT Terms: Data; Driver performance; Driver training; Driving simulators; Eye movements; Teenage drivers
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01789227
- Record Type: Publication
- Contract Numbers: 69A3551747131
- Files: UTC, NTL, TRIS, ATRI, USDOT
- Created Date: Nov 22 2021 5:10PM