Cybersickness prediction is one of the significant research challenges for real-time cybersickness reduction. Researchers have proposed different approaches for predicting …
A plethora of studies has been conducted to detect and reduce cybersickness in real-time. However, prior attempts to detect and minimize cybersickness after its onset may be …
J Lohman, L Turchet - IEEE Transactions on Human-Machine …, 2022 - ieeexplore.ieee.org
Cybersickness is a type of motion sickness that may occur during a virtual reality (VR) experience. Many studies have proposed solutions to mitigate cybersickness, while …
D Jeong, M Jeong, U Yang, K Han - Plos one, 2022 - journals.plos.org
Research has shown that sensor data generated by a user during a VR experience is closely related to the user's behavior or state, meaning that the VR user can be quantitatively …
Identifying cybersickness in virtual reality (VR) applications such as games in a fast, precise, non-intrusive, and non-disruptive way remains challenging. Several factors can cause …
AC da Silveira, M Lima de Souza… - … Journal of Human …, 2024 - Taylor & Francis
The evaluation of human responses in multimedia experiences using physiological data has a well-established presence in the academic literature. However, this field is currently …
Cybersickness can be characterized by nausea, vertigo, headache, eye strain, and other discomforts when using virtual reality (VR) systems. The previously reported machine …
Cybersickness is one of the greatest barriers to the adoption of virtual reality. A growing body of research has focused on identifying the characteristics of cybersickness and finding …
Cybersickness is a common ailment associated with virtual reality (VR) user experiences. Several automated methods exist based on machine learning (ML) and deep learning (DL) …