AREAS OF INTEREST

We invite researchers from VR/AR/MR to participate and submit their work to the program. Likewise, any work on AI that has a relation to any of these fields or potential for the usage in any of them is welcome. The conference seeks original, high-quality contributions related but not limited to works exploring:
The role of AI in XR, that is, work assessing the current state of AI integration within XR technologies and experiences.

Innovation of XR with AI, that is, work identifying opportunities for AI to enhance XR worlds and experiences, such as photorealistic avatars, dynamic virtual environments, and anticipatory user interactions.

Technical and human challenges, that is, work addressing the technical obstacles and human factors that must be overcome to unlock the full potential of AI in XR.

Ethical considerations, that is, work exploring the ethical implications of AI-driven XR advancements, including privacy, agency, and digital identity concerns.

Concrete areas of interest for the technical program include but are not limited to:

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, conversational non-player characters (NPCs)
    Understanding and modelling human behaviour, emotions

AI technologies for VR/AR

    Search, planning, reasoning
    Knowledge representation
    Natural language processing
    Robotics and perception
    Multi-agent systems
    Statistical learning, deep learning

Interactions / interactive and responsive environments

    Multimodal interaction and experiences in VR/AR
    Machine learning for multimodal interaction
    Human-virtual user/agent interaction
    Human to human communication in virtual environments, collaboration and communication
    Dialogue modelling and generation, conversational and natural language interfaces, speech interaction for AR/VR
    Navigation and spatial orientation in VR
    Interaction devices, Brain-Computer Interfaces (BCI)

Applications and use cases

    Data and knowledge representation, problem solving
    Visualization concepts (including, e.g., spatial visualization, multimodality for visualization) and domains (e.g., scientific visualization)
    Arts, leisure, and entertainment
    Gaming and game narratives, immersive storytelling and gameplay
    Education, training, simulation
    Business, prototyping, productivity, design and architecture, evaluation
    Telepresence and collaboration, social interactions
    Healthcare and therapy
    Evaluation metrics and methodologies
    Quality of Experience (QoE)

Ethical and societal aspects of AI and VR/AR

    Sensory vulnerability
    Privacy and data
    Social isolation, desensitization
    Overestimation of abilities, psychiatric
    Unpalatable fantasies, torture/virtual criminality
    Manipulation, appropriate roaming and re-creation