9th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2025)

Topics

• Content creation and modelling
  • Environments for gaming, simulation, training
  • Generation of immersive environments and virtual worlds
  • Geometric modelling and design in immersive settings
  • Visualization, optimized and realistic rendering
  • Customization and personalization (e.g., for training)
  • Animations, crowd-simulation, character modelling
• Systems, including techniques, performance, and implementation
  • AI platforms for VR/AR, cloud-based platforms
  • System components, virtual reality platforms
  • Tracking, physical environment mapping, registration
  • Data generation, manipulation, analysis, and validation
  • Standards and theoretical models for AI and/or VR
  • Vision for VR/AR, deep learning for VR/AR
• AI technologies
  • Knowledge representation
  • Search, planning, reasoning
  • Robotics and perception
  • Natural language processing
  • Statistical learning, deep learning
  • Multi-agent systems
• Cognitive aspects, perception, user behaviour
  • Depth perception, multimodal perception
  • Semantic and cognitive aspects of virtual reality
  • Representations of self (avatars), embodiment, presence
  • Behaviour and activity generation
  • Understanding and modelling human behaviour, emotions
  • Virtual agents, conversational non-player characters (NPCs)
• Applications and use cases
  • Visualization concepts (including, e.g., spatial visualization, multimodality for visualization) and domains (e.g., scientific visualization)
  • Data and knowledge representation, problem solving
  • Gaming and game narratives, immersive storytelling and gameplay
  • Arts, leisure, and entertainment
  • Business, prototyping, productivity, design and architecture, evaluation
  • Education, training, simulation
  • Healthcare and therapy
  • Telepresence and collaboration, social interactions
  • Quality of Experience (QoE)
  • Evaluation metrics and methodologies
• Interactions / interactive and responsive environments
  • Machine learning for multimodal interaction
  • Multimodal interaction and experiences in VR/AR
  • Human to human communication in virtual environments, collaboration and communication
  • Human-virtual user/agent interaction
  • Navigation and spatial orientation in VR
  • Dialogue modelling and generation, conversational and natural language interfaces, speech interaction for AR/VR
  • Interaction devices, Brain-Computer Interfaces (BCI)