The EU projects ADSEAT (2009-2013) and TeleFOT (2008-2012) both included components of work involving naturalistic driving trials in instrumented vehicles. Of specific interest to this paper was the use of video recordings and digital eye-tracker readings to monitor eye-gaze behaviour. The aim of the study was to describe the results and challenges of applying these two methodologies under real-life driving conditions based on nine subjects from the ADSEAT project and ten from the TeleFOT project. It proved possible to detect the effect of navigation devices on driver attention as reflected in eye-glance behaviour through manual review of video recordings. This procedure was however very labour intensive. While the digital eye-tracker produced reliable measurements of head movements through real-time image processing and recognition of facial features, it generally failed to provide meaningful data on eye-gaze movements. There was however several minutes of remarkably accurate eye-gaze readings found within hours of recording that proved the technology could work if the experimental methodology were perfected. This potentially opens the way to cost-effective analysis of eye-gaze behaviour by the application of computerised algorithms to digital files.
|Publication status||Published - Jun 2016|
|Event||European Conference on Human Centred Design for Intelligent Transport Systems - Loughborough, United Kingdom|
Duration: 30 Jun 2016 → 1 Jul 2016
|Conference||European Conference on Human Centred Design for Intelligent Transport Systems|
|Period||30/06/16 → 1/07/16|