| Title: |
87 Virtual Driving Relates to Real-World Risky Driving |
| Authors: |
Devlin, Kathryn N; Split, Molly; Ang, Jocelyn; Lopes, Sophia; Gonevski, Aleksandar; Ogunkoya, Oluwatoniloba; Hasan, Tasmia; Schultheis, Maria |
| Source: |
Journal of the International Neuropsychological Society ; volume 29, issue s1, page 489-490 ; ISSN 1355-6177 1469-7661 |
| Publisher Information: |
Cambridge University Press (CUP) |
| Publication Year: |
2023 |
| Description: |
Objective: Driving is a cognitively demanding activity commonly affected by brain injury and illness. Accurate driving assessment is essential for reducing risk, optimizing independence, and informing driving-related interventions. Virtual reality driving simulation (VRDS) enables safe, sensitive, objective, and standardized measurement of driving abilities. VRDS has been validated in relation to self-reports and driver records. However, self-reports are subjective, and driver records include only major events (collisions, violations). Video telematics platforms can measure naturalistic driving in a more objective and sensitive manner. The present study used video telematics to examine relationships between VRDS performance and directly observed naturalistic driving. Participants and Methods: 20 healthy adult drivers (ages 23-61, mean age=36; 75% women) completed a VRDS assessment that included 1) driving on a straight road, 2) following a truck on a highway, and 3) reacting to a child running into a street to retrieve a ball. Primary VRDS measures were 1) speed and lane management on the straight road; 2) speed and following distance management in the truck-following task; and 3) reaction time, stopping, and distance from the child in the child-ball task. Participants also completed 28 days of naturalistic driving with a video telematics platform in their vehicle. Driving events were detected automatically using accelerometer, GPS, and video data, and driving behaviors were coded by driving risk analysts. The primary naturalistic measure was the number of unsafe driving behaviors per hour driven; specific driving behaviors served as exploratory variables. We examined correlations between VRDS and naturalistic driving variables. Given limited statistical power, we reported correlations that were small-to-medium or greater (r >.2) in primary analyses and medium-to-large or greater (r >.4) in exploratory analyses. Results: On average, drivers exhibited approximately one unsafe driving behavior per hour ... |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1017/s1355617723006355 |
| Availability: |
https://doi.org/10.1017/s1355617723006355; https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1355617723006355 |
| Rights: |
https://www.cambridge.org/core/terms |
| Accession Number: |
edsbas.F41C4018 |
| Database: |
BASE |