VR-Wizard: Towards an Emotion-Adaptive Experience in VR

Abstract

In this research, we investigate the impact of real-time biofeedback-based emotion adaptive Virtual Reality (VR) environments on the immersiveness, game engagement, and flow state using physiological information such as Electroencephalogram (EEG), Electrodermal Activity (EDA), and Heart Rate Variability (HRV). For this, we designed VR-Wizard, a personalized emotion-adaptive VR game akin to a Harry Potter experience with an objective to collect items in the forbidden forest. The users initially train the system through a calibration process. Next, they explore the forest with adapting environmental factors based on a ’MagicMeter’ indicating the user’s real-time emotional states. The overall goal is to provide more personalized, immersed, and engaging emotional virtual experiences.