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Measuring Human Perception of Airflow for Natural Motion Simulation in Virtual Reality
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Number of Authors: 82025 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 31, no 5, p. 2943-2935Article in journal (Refereed) Published
Abstract [en]

Airflow is recognized as an effective method for inducing the illusion of self-motion (vection) and reducing motion sickness in virtual reality. However, the quantitative relationship between virtual motion and the airflow perceived as consistent with it has not been fully explored. To address this gap, this study conducted three experiments. In Experiment 1, we carried out a series of cross-modal matching tasks to establish the relationship between the speed of virtual motion and the airflow speed perceived as consistent with it, revealing a strong linear correlation. In Experiment 2, we introduced the concept of an "Airflow Gradient"to simulate the bodily sensation of curvilinear motion and examined the relationship between the radius and angular velocity of the motion and the difference in airflow speed between the left and right sides. The results indicated a linear relationship between the radius and the left-right airflow speed difference, while the angular velocity showed a near-quadratic pattern, similar to the centripetal acceleration formula. Based on these findings, Experiment 3 developed a dynamic airflow scheme and compared it with constant airflow and no-airflow conditions during locomotion tasks in a complex urban environment. The results demonstrated that dynamic airflow, which ensures consistency between visual and bodily vection, further reduces motion sickness, enhances presence, and provides a more natural and consistent virtual motion experience.

Place, publisher, year, edition, pages
2025. Vol. 31, no 5, p. 2943-2935
Keywords [en]
airflow, cross-modal correspondence, motion sickness, Virtual reality
National Category
Other Computer and Information Science
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URN: urn:nbn:se:su:diva-242194DOI: 10.1109/TVCG.2025.3549552ISI: 001476532500017PubMedID: 40063457Scopus ID: 2-s2.0-105003768686OAI: oai:DiVA.org:su-242194DiVA, id: diva2:1952767
Available from: 2025-04-16 Created: 2025-04-16 Last updated: 2025-09-18Bibliographically approved

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Hansen, Preben

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