Dataset for predicting cybersickness from a virtual navigation task
This provides a dataset for researchers working on cybersickness mitigation in virtual reality, but it is incremental as it focuses on data collection rather than new methods.
The paper tackles the problem of predicting cybersickness in virtual reality by presenting a dataset collected from navigation tasks, including physiological responses and self-reported symptoms, to serve as a resource for developing predictive models.
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.