The Gap Effect in Conditionally Automated Driving
Attentional disengagement and reengagement is critical in automated driving, where drivers may need to move attention to and from the dynamic driving task. This study investigates the application of the gap effect to attention in the context of automated driving. A previous SaferSim research project (Gaspar & Shull, 2019) showed that it was possible to produce the gap effect in automated driving by extinguishing a secondary task display 300ms prior to a takeover request. However, these faster look up times in the gap condition resulted in a detrimental impact in terms of subsequent takeover performance and response time. The goal of this proposal is to investigate the gap effect in the context of conditionally automated driving for younger and older adults.
- Record URL:
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Supplemental Notes:
- Received 6 mo. no-cost extension due to COVID-19
Language
- English
Project
- Status: Active
- Funding: $60000
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Contract Numbers:
69A3551747131
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
University of Iowa, Iowa City
National Advanced Driving Simulator, 2401 Oakdale Blvd
Iowa City, IA United States 52242-5003 -
Performing Organizations:
University of Iowa, Iowa City
National Advanced Driving Simulator, 2401 Oakdale Blvd
Iowa City, IA United States 52242-5003 -
Principal Investigators:
Gaspar, John
- Start Date: 20200801
- Expected Completion Date: 20220131
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Aged; Attention; Autonomous vehicle handover; Autonomous vehicles; Driving simulators; Young adults
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01738851
- Record Type: Research project
- Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
- Contract Numbers: 69A3551747131
- Files: UTC, RIP
- Created Date: May 7 2020 8:08AM