Predicting Cybersickness Using Machine Learning and Demographic Data in Virtual Reality

Predicting Cybersickness Using Machine Learning and Demographic Data in Virtual Reality

The widespread adoption of virtual reality (VR) technologies is significantly hindered by the prevalence of cybersickness, a disruptive experience causing symptoms like nausea, dizziness, and disorientation. Traditional methodologies for predicting cybersickness predominantly depend on biomedical da...

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Bibliographic Details
Main Authors: Ananth N. Ramaseri-Chandra, Hassan Reza
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
virtual reality
cybersickness
machine learning
demographic data
user experience
Online Access:https://www.mdpi.com/2079-9292/13/7/1313

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https://www.mdpi.com/2079-9292/13/7/1313

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