A survey on Digital Twins for Multi-User Synchronization in Human-centered IRs
2025 (English)In: Proceedings - 2025 International Conference on Metaverse Computing, Networking and Applications, MetaCom 2025, Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 163-164Conference paper, Published paper (Refereed)
Abstract [en]
Multi-user extended reality (XR) is an advanced technology that immerses users simultaneously into the meta-verse, aiming to provide a real-time interaction experience in different scenarios. However, different users' network conditions cause data transmission to be asynchronous. It forces users' behavior in the metaverse to go out of sync, seriously impacting the user experience. This paper presents a framework for human-centred synchronization of networks and metaverse applications, often denoted as Intelligent Realities, using Digital Twin (DT) technologies for the networks (network DTs) as well as for the individual users' XR parts (XR DTs). Our framework uses users' attention as a key input to dynamically allocate network resources and align content, thereby keeping widely distributed users in sync. To motivate this framework, we surveyed recent DT-based XR and network systems and found a significant gap: few studies work on synchronizing systems between network DTs and XR DTs. This highlights the need to explore integrated solutions for networked real-time multi-user interaction in the metaverse.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2025. p. 163-164
Keywords [en]
digital twin, HCI, multi-user, network resource allocation, XR, Behavioral research, Human computer interaction, Synchronization, User experience, User interfaces, Advanced technology, Data-transmission, Interaction experiences, Metaverses, Multiusers, Network condition, Network resource allocations, Real time interactions, User networks
National Category
Computer Sciences Computer Systems
Identifiers
URN: urn:nbn:se:bth-28919DOI: 10.1109/MetaCom65502.2025.00036Scopus ID: 2-s2.0-105020807442ISBN: 9798331522551 (print)OAI: oai:DiVA.org:bth-28919DiVA, id: diva2:2015441
Conference
3rd IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2025, Seoul, Aug 27-29, 2025
Part of project
HINTS - Human-Centered Intelligent Realities
Funder
Knowledge Foundation, 202200682025-11-212025-11-212025-11-24Bibliographically approved