2021-06-11T14:15:24 n22222

Virtual reality intervention evaluation for reducing driving under the influence

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This dataset was collected as part of a study exploring the effects of one virtual reality (VR) intervention as delivered in the real world.

An intervention was hypothesised to impact the participants' driving under the influence (DUI) of drugs or alcohol. Using pre- and post-test design, including an intervention group (n = 98) and a control group (n = 39), the intervention evaluation examined young drivers' (aged 18 to 25, no known history of DUI) intention and self-reported behaviour three months after the intervention as compared to the baseline. Thus, data were collected at two time points, Time 1 (T1, baseline, July 2018, before the intervention) and Time 2 (T2, approximately three months after T1, November 2018).

The dataset contains information about the participants' age, gender, driving experience as well as self-reported DUI intention and Past DUI behaviour. 

Geographical area of data collection

kmlPolyCoords
153.028076,-27.467712

Publications

Vankov, Daniel, Schroeter, Ronald, & Twisk, Divera (2021) Can’t simply roll it out: Evaluating a real-world virtual reality intervention to reduce driving under the influence. PLoS ONE, 16(4), Article number: e0250273. http://dx.doi.org/https://eprints.qut.edu.au/210104/

Research areas

Behavioural analysis
Driving under the influence
Quasi-experiment
DUI
Virtual reality
Young drivers
VR
Traffic psychology
Road safety
Intervention
Intention

Cite this collection

Vankov, Daniel; Schroeter, Ronald; Twisk, Divera (2021): Raw data.. PLOS ONE. Dataset. https://doi.org/10.1371/journal.pone.0250273.s001

Related information

Vankov, Daniel & Schroeter, Ronald (2021) Driving under the influence of drugs or alcohol: Predicting the intentions of young drivers. Traffic Injury Prevention, 22(2), pp. 97-101. https://eprints.qut.edu.au/207251/

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© Queensland University of Technology

Dates of data collection

From 2018-07-01 to 2018-11-30

Connections

Has association with
Divera Twisk  (Researcher)
Ronald Schroeter  (Researcher)

Other

Date record created:
2021-04-20T11:26:44
Date record modified:
2021-06-11T14:15:24
Record status:
Published - Open Access