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

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Abstract

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
Pages1-4
Number of pages4
DOIs
Publication statusAccepted/In press - 10 May 2018
EventBritish HCI Conference 2018 - Belfast, Belfast, Northern Ireland
Duration: 2 Jul 20186 Jul 2018

Conference

ConferenceBritish HCI Conference 2018
Abbreviated titleBHCI2018
CountryNorthern Ireland
CityBelfast
Period2/07/186/07/18

Keywords

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

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    Ferris, L., Bond, RR., McNeice, L., Grimley, A., Taylor, A., Magee, J., Lyons, F., & Charles, D. K. (Accepted/In press). Virtual Reality Simulation and Eye Tracking to Assess Hazard Perception of Car Drivers. 1-4. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland. https://doi.org/10.14236/ewic/HCI2018.189