11th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2027)

The 11th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2027) brings together advances in artificial intelligence and virtual reality, highlighting how intelligent systems, immersive environments, and human–machine interaction transform digital experiences and real-world applications.

Key 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)