Seminário de Física

Título: Cybersickness caused by the locomotion in virtual reality environments

Orador: Yaşar Daşdemir (Department of Computer Engineering, Faculty of Engineering and Architecture, Erzurum Technical University, Turkey)

Abstract:

Virtual reality (VR) applications are a great example of how immersive environments such as Metaverse can take our perception to a new level. Locomotion is the way people move within these environments. To obtain the best experience and reduce the risks of motion sickness or fatigue, it is essential to understand the different types of locomotion, best practices, and when best to use them. Unlike most previous studies, this study conducted experiments in a 6DoF environment. Thus, it was ensured that the participants remained in a more immersive environment. From this point of view, a dataset called VREEG was obtained, which completed ten locomotion with thirty-two participants. A user survey was conducted using objective and subjective metrics for VR motion tasks to assess physiological, usability, and cybersickness/predictivity. The proposed method can predict disease symptoms before they occur using EEG characteristics extracted from the time, frequency, and time-frequency domains. The proposed model can obtain an accuracy of 99% from the dataset for nausea, oculomotor, and disorientation levels. Teleport techniques have attracted attention because of their rapid transition and low cybersickness. The presented dataset can be used to evaluate and predict simulator diseases based on virtual reality movements and provide implications for future research.