A review of cybersickness in head-mounted displays: raising attention to individual susceptibility

N Tian, P Lopes, R Boulic - Virtual Reality, 2022 - Springer
Cybersickness still poses a significant challenge to the widespread usage of virtual reality,
leading to different levels of discomfort and potentially breaking the immersive experience …

When xr and ai meet-a scoping review on extended reality and artificial intelligence

T Hirzle, F Müller, F Draxler, M Schmitz… - Proceedings of the …, 2023 - dl.acm.org
Research on Extended Reality (XR) and Artificial Intelligence (AI) is booming, which has led
to an emerging body of literature in their intersection. However, the main topics in this …

Cybersickness and its severity arising from virtual reality content: A comprehensive study

H Oh, W Son - Sensors, 2022 - mdpi.com
Virtual reality (VR) experiences often elicit a negative effect, cybersickness, which results in
nausea, disorientation, and visual discomfort. To quantitatively analyze the degree of …

Deep virtual reality image quality assessment with human perception guider for omnidirectional image

HG Kim, HT Lim, YM Ro - … on Circuits and Systems for Video …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel deep learning-based virtual reality image quality
assessment method that automatically predicts the visual quality of an omnidirectional …

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 …

Automatic detection and prediction of cybersickness severity using deep neural networks from user's physiological signals

R Islam, Y Lee, M Jaloli, I Muhammad… - … symposium on mixed …, 2020 - ieeexplore.ieee.org
Cybersickness is one of the primary challenges to the usability and acceptability of virtual
reality (VR). Cybersickness can cause motion sickness-like discomforts, including …

Subjective QoE of 360-degree virtual reality videos and machine learning predictions

MS Anwar, J Wang, W Khan, A Ullah, S Ahmad… - IEEE …, 2020 - ieeexplore.ieee.org
360-degree video provides an immersive experience to end-users through Virtual Reality
(VR) Head-Mounted-Displays (HMDs). However, it is not trivial to understand the Quality of …

A deep cybersickness predictor based on brain signal analysis for virtual reality contents

J Kim, W Kim, H Oh, S Lee… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
What if we could interpret the cognitive state of a user while experiencing a virtual reality
(VR) and estimate the cognitive state from a visual stimulus? In this paper, we address the …

Cybersickness analysis with eeg using deep learning algorithms

D Jeong, S Yoo, J Yun - … IEEE conference on virtual reality and …, 2019 - ieeexplore.ieee.org
Cybersickness is a symptom of dizziness that occurs while experiencing Virtual Reality (VR)
technology and it is presumed to occur mainly by crosstalk between the sensory and …

Motion sickness prediction in stereoscopic videos using 3d convolutional neural networks

TM Lee, JC Yoon, IK Lee - IEEE transactions on visualization …, 2019 - ieeexplore.ieee.org
In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-
based method for predicting the degree of motion sickness induced by a 360° stereoscopic …