Not Everyone Gets Sick the Same Way: Personalized Cybersickness Prediction via Bayesian Networks with Individual Susceptibility Modeling
- DOI
- 10.1109/tvcg.2026.3747533
- Published
- 2026
- Container
- IEEE Transactions on Visualization and Computer Graphics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tvcg.2026.3747533,
title = {Not Everyone Gets Sick the Same Way: Personalized Cybersickness Prediction via Bayesian Networks with Individual Susceptibility Modeling},
author = {Nasim Ahmed and Peng Wu and Kaiming Huang and Bin Li and Tian Lan and Gang Tan and Mahdi Imani and Rifatul Islam},
year = {2026},
journal = {IEEE Transactions on Visualization and Computer Graphics},
doi = {10.1109/tvcg.2026.3747533},
url = {https://doi.org/10.1109/tvcg.2026.3747533}
}RIS
TY - JOUR TI - Not Everyone Gets Sick the Same Way: Personalized Cybersickness Prediction via Bayesian Networks with Individual Susceptibility Modeling AU - Nasim Ahmed AU - Peng Wu AU - Kaiming Huang AU - Bin Li AU - Tian Lan AU - Gang Tan AU - Mahdi Imani AU - Rifatul Islam PY - 2026 JO - IEEE Transactions on Visualization and Computer Graphics DO - 10.1109/tvcg.2026.3747533 UR - https://doi.org/10.1109/tvcg.2026.3747533 ER -
APA
Ahmed, N., Wu, P., Huang, K., Li, B., Lan, T., Tan, G., Imani, M., & Islam, R. (2026). Not Everyone Gets Sick the Same Way: Personalized Cybersickness Prediction via Bayesian Networks with Individual Susceptibility Modeling. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/tvcg.2026.3747533
Source records
- crossref · retrieved 2026-11-09T14:37:59.083Z