[DC] Exploration of Context and Physiological Cues for Personalized Emotion-Adaptive Virtual Reality

Immersive Virtual Reality (VR) can create compelling context-specific emotional experiences, but very few studies explore the importance of emotion-relevant contextual cues in VR. In this thesis, I investigate how to use combined contextual and physiological cues to improve emotion recognition in VR and enhance shared VR experiences. The main novelty is the creation of the first Personalized Real-time Emotion-Adaptive Context-Aware VR (PerAffectly VR) system which provides significant insight into how to create, measure, and share emotional VR experiences.