Federal Register #NHTSA-2025-0128

NHTSA Research Study on Drive-Mode Design Best Practices for Mobile Phones

The National Highway Traffic Safety Administration (NHTSA), part of the Department of Transportation, is seeking public comment on a proposed information collection for a research study on drive-mode design best practices for mobile phone applications. - Government Buyer: - Department of Transportation - National Highway Traffic Safety Administration (NHTSA) - Office of Vehicle Crash Avoidance and Electronic Controls Research, Human Factors Division - Study Overview: - One-time voluntary research study involving 96 licensed drivers in the Phoenix, Arizona area - Focused on evaluating how different drive-mode implementations on mobile phones impact driver attention and performance - Experiments will be conducted on test tracks and cones courses - Data Collection and Technology: - Use of eye-tracking systems and other monitoring equipment to collect both subjective and objective data - No specific OEMs or commercial vendors are named for products or services - Purpose and Outcomes: - Results will inform evidence-based best practices for drive-mode application design to improve driving safety - A technical report will be produced based on the findings - Notable Requirements: - Recruitment and participation of 96 licensed drivers - Use of advanced monitoring and eye-tracking technology - Collection of data on driver attention and performance during controlled experiments

Description

This notice announces a new information collection request by the National Highway Traffic Safety Administration (NHTSA) to be submitted to the Office of Management and Budget (OMB) for approval. The collection involves a one-time voluntary experiment to study how different drive-mode implementations on mobile phones affect driver attention and performance compared to standard interfaces. The study will involve screening and recruiting licensed drivers in the Phoenix area to participate in test track and cones course experiments, with data collected via eye-tracking and other monitoring systems. The results will be used to develop evidence-based best practices for drive-mode application design to improve driving safety.

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