Systems, including techniques, performance, and implementation

• System components, virtual reality platforms
• AI platforms for VR/AR, cloud-based platforms
• Data generation, manipulation, analysis, and validation
• Tracking, physical environment mapping, registration
• Vision for VR/AR, deep learning for VR/AR
• Standards and theoretical models for AI and/or VR Content creation and modelling
• Generation of immersive environments and virtual worlds
• Environments for gaming, simulation, training
• Visualization, optimized and realistic rendering
• Geometric modelling and design in immersive settings
• Animations, crowd-simulation, character modelling
• Customization and personalization (e.g., for training) Cognitive aspects, perception, user behaviour
• Semantic and cognitive aspects of virtual reality
• Depth perception, multimodal perception
• Behaviour and activity generation
• Representations of self (avatars), embodiment, presence
• Virtual agents