Dataset for predicting cybersickness from a virtual navigation task

PubDate: Feb 2023

Teams: Hong Kong University of Science and Technology;M ´ etiers Institute of Technology

Writers: Yuyang Wang, Ruichen Li, Jean-Rémy Chardonnet, Pan Hui

PDF: Dataset for predicting cybersickness from a virtual navigation task

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.