Dataset for predicting cybersickness from a virtual navigation task. Wang, Y., Li, R., Chardonnet, J., & Hui, P. 2, 2023. ![Dataset for predicting cybersickness from a virtual navigation task [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex This work presents a dataset collected to predict cybersickness in virtual reality environments. The data was collected from navigation tasks in a virtual environment designed to induce cybersickness. The dataset consists of many data points collected from diverse participants, including physiological responses (EDA and Heart Rate) and self-reported cybersickness symptoms. The paper will provide a detailed description of the dataset, including the arranged navigation task, the data collection procedures, and the data format. The dataset will serve as a valuable resource for researchers to develop and evaluate predictive models for cybersickness and will facilitate more research in cybersickness mitigation.
@article{
title = {Dataset for predicting cybersickness from a virtual navigation task},
type = {article},
year = {2023},
websites = {http://arxiv.org/abs/2303.13527},
month = {2},
day = {6},
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created = {2023-04-13T03:35:33.350Z},
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abstract = {This work presents a dataset collected to predict cybersickness in virtual reality environments. The data was collected from navigation tasks in a virtual environment designed to induce cybersickness. The dataset consists of many data points collected from diverse participants, including physiological responses (EDA and Heart Rate) and self-reported cybersickness symptoms. The paper will provide a detailed description of the dataset, including the arranged navigation task, the data collection procedures, and the data format. The dataset will serve as a valuable resource for researchers to develop and evaluate predictive models for cybersickness and will facilitate more research in cybersickness mitigation.},
bibtype = {article},
author = {Wang, Yuyang and Li, Ruichen and Chardonnet, Jean-Rémy and Hui, Pan}
}
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