Sep 2026· Proceedings of the 18th International Conference on Automotive User Interfaces and Interactive Vehicular Applications· pp. 284-295· 0 citations· 19 references
TL;DR
This study compared three test environments — real traffic, an MRV setup, and a high-fidelity driving simulator — in evaluating a novel driver assistance system and demonstrated absolute validity in measuring cognitive load and acceptance (usefulness) of the system.
Abstract
Over the past decades, driving simulators have undergone rapid improvements but remain limited by their restricted motion space, preventing a full replication of real driving sensations. Mixed-Reality Vehicles (MRVs), which combine a real car with a virtual environment via a head-mounted display, offer a promising alternative with enhanced physical validity. This study compared three test environments — real traffic, an MRV setup, and a high-fidelity driving simulator — in evaluating a novel driver assistance system. Both MRV and driving simulator demonstrated absolute validity in measuring cognitive load and acceptance (usefulness) of the system. While the driving simulator generally performed well, the MRV provided valid results across more variables. Additionally, there was no simulator sickness at all in the MRV. Researchers should weigh the benefits against the extra effort required for MRV studies. The presented findings may not generalize to lower-quality simulators.
The advent of automated vehicles (AVs) prompted AutomotiveUI researchers to investigate how AVs can safely share the road with Human Road Users (HRUs). Researchers developed interfaces to facilitate AV-HRU interaction, e.g., on-vehicle eHMIs. However, these were mostly evaluated through online surveys with stationary p...
Ammar Al-Taie, Ming-Yu Han, Ian Oakley· Adjunct Proceedings of the 1...· 0 citations
Virtual reality (VR)-based training provides a safe and cost-effective solution for truck-driver-training tasks. However, the effectiveness of VR training in replicating real-world driving conditions remains underexplored. This study examines how vestibular motion cues and field of view (FOV) affect driving control, VR...
Yasaman Jabbari, M. von Mohrenschildt· Transportation Research Reco...· 0 citations
Autonomous vehicles are expected to improve road safety and efficiency, but passengers often remain uncertain about what the vehicle perceives and why it acts as it does. Virtual reality (VR) offers a safe and repeatable medium for presenting this information, yet most passenger-facing VR studies rely on fully simulate...
Md Tanjemul Islam, M. Shafin, Md Rafiul Kabir· 0 citations
This paper examines how mixed reality (MR) and screen-based flight simulators affect user performance and experience under varying cognitive load. In a controlled study with 24 participants, we compared MR and screen-based simulation under low and high cognitive load using three concurrent tasks: an n-back task, a reac...
M. Lind, Xiao-Yan Zhou, Pooria Ghavamian et al.· Proceedings of the 2026 ACM...· 0 citations
Motion sickness (MS) is an operationally relevant problem for emergency drivers. Virtual reality (VR) may provide a practical method for inducing and studying MS symptoms under controlled conditions, with potential applications in future assessment and rehabilitation. This feasibility study examined whether immersive V...
Louise Hill-Madsen, Frederik Max Clausen Allsopp, Thomas Oliver Kamarauskas Ovesen et al.· Frontiers in Virtual Reality· 0 citations
Augmented reality (AR) enables simulating robots in Human-Robot Interaction (HRI) research, offering a cheaper, more accessible, and flexible alternative to complex, resource-intensive physical setups. However, the comparability of AR and physical HRI results remains unclear. In this paper, we address this question by...
Enrico Guerra, Esther A. Semmelhack, Anne Schacht et al.· Message Understanding Confer...· 0 citations
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