Skip to content
Open access

A qualitative comparison of mixed reality headsets in driving simulators for human machine interaction

Jul 2026 · Virtual Reality · Vol 30 · 0 citations · 51 references

TL;DR

The findings highlight the potential role of MR simulators in supporting the development and early validation of advanced driver assistance systems (ADAS) and other SDV-related interface concepts.

Abstract

This work investigates the suitability of head-mounted-display-based (HMD) mixed reality (MR) systems for dynamic driving simulators in the context of human–machine interaction (HMI) in software-defined vehicles (SDVs). The presented study examines the extent to which MR headsets can support the simulation of realistic driver behaviour during secondary tasks involving interactions with in-vehicle interfaces. An experimental study was conducted with 35 participants using a simulated urban driving scenario modelled on real traffic conditions in Berlin and compared with a real drive (RD) under comparable conditions. A within-subject design was employed to evaluate differences between MR and RD environments across several subjective and objective dimensions relevant to HMI evaluation. User comfort, cognitive workload, and behavioural validity were assessed using standardised evaluation instruments, including the simulation sickness questionnaire (SSQ) and the NASA task load index (NASA-TLX). In addition, behavioural indicators such as secondary task execution and visual attention distribution were analysed to provide a broader perspective on driver interaction within the simulated environment. The results provide insights into the strengths, limitations, and practical applicability of MR-headset-based driving simulation for HMI research. In particular, the findings highlight the potential role of MR simulators in supporting the development and early validation of advanced driver assistance systems (ADAS) and other SDV-related interface concepts.

Read PDF

Similar papers

Book Open access Sep 2026

The Best of Both Worlds? The Validity of Mixed-Reality Vehicles for Human-Centered Automotive Research

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.

Chantal Himmels, Paula Santos, Kai-Feng Liu et al. · 0 citations
Book Open access Sep 2026

ARena: Augmented Reality Simulator for Automated Vehicle-Human Road User Interaction

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 · 0 citations
Book Open access Sep 2026

Evaluating Multimodal Touchscreen Interfaces for V2V Overtaking Requests in Virtual Reality

In future driving, manual drivers will interact with Autonomous Vehicles (AVs) through Vehicle to Vehicle (V2V) communication. This study evaluates the human-machine interaction trade-offs of interface modality stacking for center-stack touchscreens during a cooperative overtaking task. Using a Virtual Reality driving...

Rodrigo Rodrigues, Jorge C. S. Cardoso · 0 citations
Book Open access Aug 2026

Augmented Reality as a Proxy for Human–Robot Interaction Research: Comparing Subjective and Objective Measures

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...

E. Guerra, Esther A. Semmelhack, Anne Schacht et al. · 0 citations
Preprint Aug 2026

Multisensor Measurement of Train Driver Mental Fatigue: From Simulation to Reality

Increasing automation in rail transport shifts the train driver's role from active control to prolonged supervisory monitoring. This creates conditions for mental fatigue (MF) and reduced vigilance. Despite the safety relevance of this issue, evidence on the feasibility and robustness of physiological indicators of MF...

Esther Bosch, Rebecca Kruschka, David Schackmann et al. · 0 citations
Open access Sep 2026

Motion Cues and Field of View in Virtual Truck-Driver-Training Under Crosswinds: Effects on Driving Control, Simulator Sickness, and User Experience

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 · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.