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107. Driver Training and Socioeconomic Status: A Human-In-The-Loop Driving Simulator Evaluation
DescriptionPast research showed RAPT training boosts latent hazard anticipation (LHA) performance in young drivers. However, a recent study showed that drivers with a lower socioeconomic status (SES) experienced lower crash rates when trained with RAPT, but it was not clear if RAPT improved LHA more effectively in low-SES drivers. The current study tested the effectiveness of RAPT on LHA across SES levels in a driving simulator. Fifty-two participants were randomly assigned to either active or passive RAPT, and their anticipatory glances were measured via eye tracker while they navigated eight risky scenarios. Participants' family income and their parents’ education levels were used as a measure of SES. Results showed significantly better LHA performance following the active training compared to the passive training, an effect comparable across SES levels. The results imply no differential impact on the effectiveness of RAPT in drivers with different SES levels.
Corresponding Author/Contributor
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Tracks
Aging
Augmented Cognition
Children's Issues
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Cybersecurity
Education
Environmental Design
General Sessions
Human AI Robot Teaming (AI)
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Surface Transportation
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