Virtual Reality Simulation and Eye Tracking to Assess Hazard Perception of Car Drivers

Liam Ferris, RR Bond, Luke McNeice, Adam Grimley, Andrew Taylor, Justin Magee, Frank Lyons, D.K. Charles

Research output: Contribution to conferencePaperpeer-review

214 Downloads (Pure)


The assessment of a driver’s hazard perception on the road is difficult to measure. Using a Virtual Reality (VR) simulation coupled with eye tracking to objectively detect hazard recognition is a viable technological solution. The objective in this paper is to outline an approach that uses a virtual simulation to assess hazard perception of car drivers. This approach covers the development of a system capable of capturing the data required to interpret a subject’s attention (e.g. head and eye gaze scan path), and a proposed approach to using supervised machine learning algorithms to analyse this dataset and predict driver competency in hazard perception.
Original languageEnglish
Number of pages4
Publication statusAccepted/In press - 10 May 2018
EventBritish HCI Conference 2018 - Belfast, Belfast, Northern Ireland
Duration: 2 Jul 20186 Jul 2018


ConferenceBritish HCI Conference 2018
Abbreviated titleBHCI2018
Country/TerritoryNorthern Ireland


  • virtual reality
  • driving test
  • driving
  • DVLA
  • eye tracking
  • hazard perception


Dive into the research topics of 'Virtual Reality Simulation and Eye Tracking to Assess Hazard Perception of Car Drivers'. Together they form a unique fingerprint.

Cite this