[HTML][HTML] Opportunities and challenges of virtual reality in healthcare–a domain experts inquiry

A Halbig, SK Babu, S Gatter, ME Latoschik… - Frontiers in Virtual …, 2022 - frontiersin.org
In recent years, the applications and accessibility of Virtual Reality (VR) for the healthcare
sector have continued to grow. However, so far, most VR applications are only relevant in …

Cybersickness prediction from integrated hmd's sensors: A multimodal deep fusion approach using eye-tracking and head-tracking data

R Islam, K Desai, J Quarles - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Cybersickness prediction is one of the significant research challenges for real-time
cybersickness reduction. Researchers have proposed different approaches for predicting …

Towards forecasting the onset of cybersickness by fusing physiological, head-tracking and eye-tracking with multimodal deep fusion network

R Islam, K Desai, J Quarles - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
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 …

Evaluating cybersickness of walking on an omnidirectional treadmill in virtual reality

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 …

[HTML][HTML] Eyes on me: Investigating the role and influence of eye-tracking data on user modeling in virtual reality

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 …

Using trajectory compression rate to predict changes in cybersickness in virtual reality games

D Monteiro, HN Liang, X Tang… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
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 …

Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022)

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 …

Truvr: Trustworthy cybersickness detection using explainable machine learning

RK Kundu, R Islam, P Calyam… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Cybersickness can be characterized by nausea, vertigo, headache, eye strain, and other
discomforts when using virtual reality (VR) systems. The previously reported machine …

MAC: multimodal, attention-based cybersickness prediction modeling in virtual reality

D Jeong, S Paik, YT Noh, K Han - Virtual Reality, 2023 - Springer
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 …

LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI

RK Kundu, R Islam, J Quarles… - 2023 IEEE Conference …, 2023 - ieeexplore.ieee.org
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) …