Mitigating VR Motion Sickness Through Multi-sensory Simulation of Wind Sensation (MSSWS): A Vestibular-Visual Synchronization Approach Show others and affiliations
2026 (English) In: Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2026, Institute of Electrical and Electronics Engineers (IEEE), 2026, p. 696-706Conference paper, Published paper (Refereed)
Abstract [en]
Users are more likely to experience visually induced motion sickness (VIMS) during passive motion in virtual reality (VR), particularly in passive virtual driving scenarios. To solve this challenge, we propose a Multi-sensory Simulation of Wind Sensation (MSSWS) method to alleviate VIMS symptoms by enhancing the user's sense of embodiment (SoE). The method utilizes low-fidelity airflow simulation to align vestibular perception with visual, auditory, and tactile cues. Then, we developed an interactive wind simulation helmet that can generate low-fidelity airflow along four directional axes around the user's head, and implemented a passive virtual motorcycle riding environment with synchronized visual and auditory feedback matching the airflow patterns. A user experiment was conducted to systematically evaluate the effectiveness of MSSWS in enhancing SoE and reducing VIMS under various conditions, including helmet activation states, speed variations, and movement directions, with additional validation conducted in a Cave Automatic Virtual Environment (CAVE). Experimental results show that MSSWS significantly enhances sense of presence and SoE while substantially reducing VIMS during passive navigation. Notably, MSSWS shows significantly greater effects on VIMS in high-risk conditions characterized by rapid speed changes and multi-directional movement.
Place, publisher, year, edition, pages Institute of Electrical and Electronics Engineers (IEEE), 2026. p. 696-706
Keywords [en]
passive virtual driving, proprioception, sense of embodiment, Visually induced motion sickness, wind sensation, Accident prevention, Navigation, Safety devices, Synchronization, Vision, Visual communication, Condition, Induced motions, Low fidelities, Motion sickness, Multi-Sensory, Passive motion, Virtual reality
National Category
Robotics and automation Human Computer Interaction
Identifiers URN: urn:nbn:se:bth-29480 DOI: 10.1109/VR67842.2026.00089 ISI: 001806770900066 Scopus ID: 2-s2.0-105037013507 ISBN: 9798331559458 (print) OAI: oai:DiVA.org:bth-29480 DiVA, id: diva2:2058594
Conference P33rd IEEE Conference on Virtual Reality and 3D User Interfaces, IEEE VR 2026, Daegu, March 21-25, 2026
Part of project HINTS - Human-Centered Intelligent Realities
Funder Knowledge Foundation, 20220068 2026-05-082026-05-082026-08-13 Bibliographically approved