IEEE International Conference on Artificial Intelligence and Virtual Reality (IEEE AIVR) is a unique event, addressing researchers and industries from all areas of AI as well as Virtual, Augmented, and Mixed Reality. It provides an international forum for the exchange between those fields, to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains.

AREAS OF INTEREST

We invite researchers from Virtual, as well as Augmented Reality (AR) and Mixed Reality (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. 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