Development and evaluation of car training system using VR and eye tracking technology

When practicing car driving in a real world, there are risks like traffic accidents. With the development of virtual reality technology, we can create environments in which people can practice without being exposed to certain dangers like traffic accidents that potentially occur in real environments. So far, many researches regarding car driving in VR have been developed, but little attention has been paid to analyzing and visualizing eye gaze data collected in VR education systems. Analyzing and visualizing the collected eye gaze data is potential to grasp information of whether learners overlooked objects such as traffic signals and signs. In this study, we developed a driving simulator in VR and collected eye tracking data from five university students while they were practicing driving using eye tracking technology. Also, we have developed a system that allows learners to reflect on their own driving using the collected their eye gaze data. We compared the changes in gaze between those who received feedback to improve their driving skills and those who did not. The results showed that the feedback was effective because it reduced the number of oversights while driving.