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 …

“Are you feeling sick?” A systematic literature review of cybersickness in virtual reality

N Biswas, A Mukherjee, S Bhattacharya - ACM Computing Surveys, 2024 - dl.acm.org
Cybersickness (CS), also known as visually induced motion sickness (VIMS) is a condition
that can affect individuals when they interact with virtual reality (VR) technology. This …

Prediction of cybersickness in virtual environments using topological data analysis and machine learning

A Hadadi, C Guillet, JR Chardonnet… - Frontiers in Virtual …, 2022 - frontiersin.org
Recent significant progress in Virtual Reality (VR) applications and environments raised
several challenges. They proved to have side effects on specific users, thus reducing the …

Assessing individual VR sickness through deep feature fusion of VR video and physiological response

S Lee, S Kim, HG Kim, YM Ro - IEEE Transactions on Circuits …, 2021 - ieeexplore.ieee.org
Recently, VR sickness assessment for VR videos is highly demanded in industry and
research fields to address VR viewing safety issues. Especially, it is difficult to evaluate VR …

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 …

Deep learning-based simulator sickness estimation from 3D motion

J Zhao, KTP Tran, A Chalmers, WK Hoh… - … on Mixed and …, 2023 - ieeexplore.ieee.org
This paper presents a novel solution for estimating simulator sickness in HMDs using
machine learning and 3D motion data, informed by user-labeled simulator sickness data …

Vrhook: A data collection tool for vr motion sickness research

E Wen, TI Kaluarachchi, S Siriwardhana… - Proceedings of the 35th …, 2022 - dl.acm.org
Despite the increasing popularity of VR games, one factor hindering the industry's rapid
growth is motion sickness experienced by the users. Symptoms such as fatigue and nausea …

Brain activity during cybersickness: A scoping review

E Chang, M Billinghurst, B Yoo - Virtual reality, 2023 - Springer
Virtual reality (VR) experiences can cause a range of negative symptoms such as nausea,
disorientation, and oculomotor discomfort, which is collectively called cybersickness …

PRECYSE: Predicting Cybersickness using Transformer for Multimodal Time-Series Sensor Data

D Jeong, K Han - Proceedings of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
Cybersickness, a factor that hinders user immersion in VR, has been the subject of ongoing
attempts to predict it using AI. Previous studies have used CNN and LSTM for prediction …

Automatic cybersickness detection by deep learning of augmented physiological data from off-the-shelf consumer-grade sensors

M Yalcin, A Halbig, M Fischbach… - Frontiers in Virtual …, 2024 - frontiersin.org
Cybersickness is still a prominent risk factor potentially affecting the usability of virtual reality
applications. Automated real-time detection of cybersickness promises to support a better …