Efficient Motion Sickness Assessment: Recreation of On-Road Driving on a Compact Test Track
Huseyin Harmankaya, Adrian Brietzke, Rebecca Pham-Xuan, Barys Shyrokau, Riender Happee, Georgios Papaioannou

TL;DR
This study presents a method using model predictive control to replicate on-road motion sickness on a small test track, enabling safer and more reproducible assessments of motion sickness in automated vehicle research.
Contribution
The paper introduces a novel approach to simulate on-road motion sickness on a compact test track using optimized path and speed control, improving reproducibility and safety.
Findings
No significant difference in motion sickness occurrence between on-road and test-track conditions.
Individual sickness levels are consistent across both testing environments.
The method enables reliable, safe, and replicable motion sickness assessment.
Abstract
The ability to engage in other activities during the ride is considered by consumers as one of the key reasons for the adoption of automated vehicles. However, engagement in non-driving activities will provoke occupants' motion sickness, deteriorating their overall comfort and thereby risking acceptance of automated driving. Therefore, it is critical to extend our understanding of motion sickness and unravel the modulating factors that affect it through experiments with participants. Currently, most experiments are conducted on public roads (realistic but not reproducible) or test tracks (feasible with prototype automated vehicles). This research study develops a method to design an optimal path and speed reference to efficiently replicate on-road motion sickness exposure on a small test track. The method uses model predictive control to replicate the longitudinal and lateral…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVirtual Reality Applications and Impacts
