IEEE VR 2026 Workshop, March 21-22nd, Daegu, Korea
The 1st IEEE XR Workshop on Networking and Sensing for the Metaverse and Multi-user and Social XR Environments
The Metaverse presents an exciting opportunity to shift social interactions into extended reality (XR) systems, fostering enhanced user engagement and interaction within AI-powered digital spaces. It is expected to create new social, economic, and political relationships while giving rise to innovative applications known as Social XR. Recent advancements in XR hardware are essential for bringing XR from niche markets into the mainstream and integrating the Metaverse into daily life. Modern XR devices come equipped with advanced sensors, enabling immersive experiences and new forms of personal communication. However, these developments lead to increased data production and a demand for efficient communication, particularly for high-definition media and real-time interactions. The integration of AI for tasks such as content generation also highlights the need for robust data communication. Furthermore, the use of immersive sensors raises concerns about performance management, security, and privacy. To tackle these challenges, this workshop aims to create a focused research agenda (incl. agenda document) on networking, networked sensing, and immersiveness in the smart Metaverse, drawing on expertise from the IEEE VR community and the organising team’s background in network research to inspire innovative research and collaboration on the complexities of multi-user XR applications and networking.
• Assessment of usage patterns and UX in multi-user XR systems
• Traffic measurement and QoE modeling for multi-user XR systems
• Network requirements engineering for multi-user XR systems
• Modelling of emotions and their exchange / emotion-aware networking and modelling
• Privacy mechanisms for networked multi-user XR systems
• Generative AI for content generation in networked and multi-user XR systems
• Federated and distributed learning for optimizing multi-user XR systems
• Visualization patterns using the networking-cloud continuum in multi-user XR systems
• Network resource management for multi-user XR systems
• Adaptive network slicing and prioritization for multi-user XR traffic
• Cross-layer optimization between application, transport, and network layers for multi-user XR traffic
• Context-aware and adaptive networking for multi-user XR systems
• Joint communication and sensing (JCAS) for multi-user XR systems
• Network protocols for multi-user XR systems
• Edge-cloud collaboration for rendering, streaming, and computation in multi-user XR systems
• Data traffic characterization for immersive sensors in multi-user XR systems
• Digital twins for users or networks for resource management in multi-user XR systems
• Synchronization techniques for immersive sensors and applications in multi-user XR systems
• APIs for networked multi-user XR systems
• Multimodal content streaming for multi-user XR systems
• User activity recognition in multi-user XR systems
• Privacy and security risks in multi-user XR systems
• Multimodal sensing in multi-user XR systems
• Distributed and collaborative learning for multi-user XR systems
• Multimodal content compression and encoding for multi-user XR systems
• Social impact analysis and evaluation of multi-user XR systems
• New interaction technologies to support cross-user interactions in XR systems
The workshop accepts research papers (max. six pages; excluding references) as well as position papers (max. four pages; excluding references). Please follow the IEEE Computer Society VGTC conference format (https://tc.computer.org/vgtc/publications/conference/). The submitted paper will be peer-reviewed based on relevance, originality, and contribution diversity. The accepted papers are made available in IEEE Digital Library.
Submission site: Easychair (Link)
Paper Submission Deadline: January 10, 2026
Notification of Acceptance: January 22, 2026
Camera-ready deadline: January 31, 2026
All deadlines are 23:59:59 Anywhere on Earth (GMT/UTC-12:00)
Co-Chair: Kurt Tutschku (Blekinge Institute of Technology, Sweden; kurt.tutschku@bth.se)
Co-Chair: Yiran Shen (Shandong University, China; yiran.shen@sdu.edu.cn)
Co-Chair: Mohammad Rajiullah (Karlstad University, Sweden; mohammad.rajiullah@kau.se)
Publication-and publicity chair: Yan Hu (Blekinge Institute of Technology, Sweden; yan.hu@bth.se)
For any questions related to the workshop or submission process, please contact us via email at