Virtual reality tour for first-time users of highly automated cars: Comparing the effects of virtual environments with different levels of interaction fidelity

Abstract

Research in aviation and driving has highlighted the importance of training as an effective approach to reduce the costs associated with the supervisory role of the human in automated systems. However, only a few studies have investigated the effect of training on highly automated driving. Moreover, available interactive trainings are mostly based on automated driving simulators and the application of immersive technology such as Virtual Reality (VR) as a low-cost training solution has not been widely adopted. In this study, we developed three types of familiarization tours (low-fidelity VR, high-fidelity VR, and video) to train first-time users of highly automated cars. Then, the effectiveness of these tours was investigated on automation trust and driving performance in several critical and non-critical transition tasks in four groups: control, video, low-fidelity VR, and high-fidelity VR. The results revealed the positive impact of the tours on trust and transition performance at the first time of measurement. Takeover quality only improved when practices were presented in high-fidelity VR. After three times of exposure to transition requests, trust and transition performance of all groups converged to those of the high-fidelity VR group, demonstrating that: a) experiencing takeover transition during the training may reduce costs associated with first critical takeover request in highly automated driving, b) the VR tour with high level of interaction fidelity was superior to other training methods, and c) untrained and less-trained drivers learned about automation after a few trials. Knowledge resulting from this research could help develop cost-effective solutions for automated driving training in dealerships and car rental centers.