VR Sickness Evaluation Method Using Recurrence Period Density Entropy

Abstract

The methods for measuring virtual reality (VR) sickness can be divided into objective indicators and subjective surveys. The method using objective indicators measures VR sickness by monitoring changes in the users’ physiological signals. Various physiological indicators have been used with this method, each with a different processing technique and outcome. This diversity complicates the establishment of standardized metrics (such as biodata-based scores and quantification) for VR sickness. Therefore, this study proposes a method for evaluating VR sickness using the recurrence period density entropy (RPDE) and conducts experiments to validate the feasibility of this approach utilizing prominent physiological data, such as electrocardiography data. The experimental results confirm that although RPDE values vary as individual metrics, the changes in these values may be correlated with VR sickness.