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Sick Moves! Motion Parameters as Indicators of Simulator Sickness
- Source :
- IEEE Transactions on Visualization and Computer Graphics. 25:3146-3157
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- We explore motion parameters, more specifically gait parameters, as an objective indicator to assess simulator sickness in Virtual Reality (VR). We discuss the potential relationships between simulator sickness, immersion, and presence. We used two different camera pose (position and orientation) estimation methods for the evaluation of motion tasks in a large-scale VR environment: a simple model and an optimized model that allows for a more accurate and natural mapping of human senses. Participants performed multiple motion tasks (walking, balancing, running) in three conditions: a physical reality baseline condition, a VR condition with the simple model, and a VR condition with the optimized model. We compared these conditions with regard to the resulting sickness and gait, as well as the perceived presence in the VR conditions. The subjective measures confirmed that the optimized pose estimation model reduces simulator sickness and increases the perceived presence. The results further show that both models affect the gait parameters and simulator sickness, which is why we further investigated a classification approach that deals with non-linear correlation dependencies between gait parameters and simulator sickness. We argue that our approach could be used to assess and predict simulator sickness based on human gait parameters and we provide implications for future research.
- Subjects :
- Adult
Male
Motion Sickness
Computer science
Movement
media_common.quotation_subject
Virtual reality
Machine Learning
Young Adult
Gait (human)
Perception
Computer Graphics
Image Processing, Computer-Assisted
Immersion (virtual reality)
Humans
Gait
Pose
Simulation
media_common
Models, Statistical
Virtual Reality
Computer Graphics and Computer-Aided Design
Signal Processing
Simulator sickness
Female
Computer Vision and Pattern Recognition
Algorithms
Psychomotor Performance
Software
Subjects
Details
- ISSN :
- 21609306 and 10772626
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Visualization and Computer Graphics
- Accession number :
- edsair.doi.dedup.....5c477887035fa893bac4efe01c31fc38