Digitala Vetenskapliga Arkivet

Operational message
There are currently operational disruptions. Troubleshooting is in progress.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A survey on Digital Twins for Multi-User Synchronization in Human-centered IRs
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0009-0004-4306-8301
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-4814-4428
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-3283-2819
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, 20220068Available from: 2025-11-21 Created: 2025-11-21 Last updated: 2025-11-24Bibliographically approved

Open Access in DiVA

fulltext(1554 kB)32 downloads
File information
File name FULLTEXT01.pdfFile size 1554 kBChecksum SHA-512
a3b7711d944cfe8e4c3836df65322afaa7dd1f3b0cbf9285c9853def7eb4985214a0083e15da4931856263396f0f912283e3fdfe9b487de73e8161369b26b44b
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Qin, BowenTutschku, KurtHu, Yan
By organisation
Department of Computer Science
Computer SciencesComputer Systems

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 947 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf