IoT Integration in XR: Enhancing Immersion with Localized and Low Latency Device Control
Adam Dooley (),
William O’Brien,
Mihai Penica,
Fiona Boyle,
Sean McGrath and
Eoin O’Connell
Additional contact information
Adam Dooley: University of Limerick, Department of Electronic & Computer Engineering
William O’Brien: University of Limerick, Department of Electronic & Computer Engineering
Mihai Penica: University of Limerick, Department of Electronic & Computer Engineering
Fiona Boyle: Munster Technological University, Department of Science, Technology, Engineering and Maths
Sean McGrath: University of Limerick, Department of Electronic & Computer Engineering
Eoin O’Connell: University of Limerick, Department of Electronic & Computer Engineering
A chapter in XR and Metaverse, 2026, pp 489-498 from Springer
Abstract:
Abstract The integration of Extended Reality (XR) and the Internet of Things (IoT) enables immersive and interactive control of physical devices within virtual environments, offering significant potential across domains such as smart environments, education, and industrial automation. However, achieving real-time responsiveness remains a critical challenge, particularly when cloud-based solutions introduce latency and reliability concerns. This paper explores two approaches to integrating IoT devices into a Unity-based XR environment deployed on the Meta Quest 2: a Tapo smart bulb controlled via IFTTT webhooks and an ESP32 microcontroller operating as a local HTTP server. The XR environment, designed to replicate a university building, incorporates physics-based interactions and hand tracking to provide an intuitive user interface. Comparative evaluation of the two approaches highlights the advantages of localized IoT processing using the ESP32, which achieves low-latency performance and greater reliability compared to the cloud-dependent Tapo bulb integration. The findings demonstrate the feasibility of cost-effective, real-time IoT-XR integration and provide insights into future development of scalable and responsive systems.
Keywords: Extended reality; Internet of things; Real-time interaction; Latency; IOT-XR integration (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-11983-4_36
Ordering information: This item can be ordered from
http://www.springer.com/9783032119834
DOI: 10.1007/978-3-032-11983-4_36
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().