Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Virtual reality driving and brain injury in the clinic

Award Number: R01HD096066
ORGANIZATION: NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/13/2019
PERIOD OF PERFORMANCE END DATE: 05/31/2025

Group Awards By:

View Award Description

Virtual reality driving and brain injury in the clinic - Despite the long-standing literature that has demonstrated changes in driving capacity following brain injury (BI) – little is known about the relationship of these differences and increased risk for driver error or the prediction of long term driving outcome after BI. However, it is well-established that the loss of the driving privilege negatively impacts functional re-integration, mood and quality of life – resulting from the reduced ability to participate in various life activities, work and educational experiences. The challenge to increasing our understanding of how to best assess and predict driving performance after BI is two-fold. First, there is a need for novel assessment methodologies that can provide objective, detailed and repeatable metrics of driving performance. The current clinical gold standard – the behind the wheel (BTW) driving assessment, is over-dependent on subjective observations, lacks standardization, assesses only basic driving skills (due to safety limitation) and generates gross measures of performance (i.e., Pass/Fail). Second, there is a lack of follow-up studies that examine actual return to driving behaviors among individuals with BI. While some evidence for greater risk of crash involvement (often dichotomized as Yes/No) has been reported, these studies have relied heavily on self-reported data and offer little to no data about driver behaviors and/or modifications, risk-involvement, crash causing-behaviors or driving patterns. The proposed study aims to address these limitations and employs an established virtual reality driving simulator (VRDS) that outputs novel driving performance metrics that are currently not available thru clinical methodology. The VRDS generates detailed metrics that can differentiate between clinical populations. Specifically, the study will integrate VRDS into an existing clinical driving assessment program and evaluate 100 individuals with BI across the process of returning to drive (e.g., from assessment to follow- up) and a sample of healthy controls. All participants will be assessed with both current clinical protocols and VRDS. This will be followed by a 24 month follow-up study including an innovative, 3-platform approach (in- car video-monitoring, web-based self-report and driving records) to quantifying returned to driving behaviors. The data collected will be used to apply both traditional (Regression Models) and novel (Machine-Leaning Models) analytical techniques to generate predictive models of relevant outcome variables (i.e., risk involvement, crash-relevant errors) that can be used to inform tailored driver interventions and retraining.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = -$60,293 )
2026	2024	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Child Health and Human Development Extramural Research	000	5	12/4/2025	NON-COMPETING CONTINUATION	-$60,293
														Subtotal = -$60,293

Issue Date FY: 2024 ( Subtotal = $226,596 )
2024	2024	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Child Health and Human Development Extramural Research	000	5	6/21/2024	NON-COMPETING CONTINUATION	$226,596
														Subtotal = $226,596

Issue Date FY: 2023 ( Subtotal = $395,589 )
2023	2023	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Child Health and Human Development Extramural Research	000	4	6/9/2023	NON-COMPETING CONTINUATION	$395,589
														Subtotal = $395,589

Issue Date FY: 2022 ( Subtotal = $0 )
2022	2021	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Child Health and Human Development Extramural Research	000	3	6/28/2022	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2021 ( Subtotal = $384,130 )
2021	2021	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Child Health and Human Development Extramural Research	000	3	6/2/2021	NON-COMPETING CONTINUATION	$384,130
														Subtotal = $384,130

Issue Date FY: 2020 ( Subtotal = $394,317 )
2020	2020	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Child Health and Human Development Extramural Research	000	2	6/24/2020	NON-COMPETING CONTINUATION	$394,317
														Subtotal = $394,317

Issue Date FY: 2019 ( Subtotal = $409,487 )
2019	2019	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Child Health and Human Development Extramural Research	000	1	9/12/2019	NEW	$409,487
														Subtotal = $409,487

Grand Total All Awards = $1,749,826

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Virtual reality driving and brain injury in the clinic

Award Number: R01HD096066

ORGANIZATION: NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/13/2019

PERIOD OF PERFORMANCE END DATE: 05/31/2025

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer