Measuring and Comparing QoE of Hybrid VR Applications under Increased Network Load

Authors

  • Ioannis Doumanis S School of Physical Sciences and Computing University of Central Lanchashire Preston, UK
  • Daphne Economou School of Computer Science and Engineering University of Westminster London, UK
  • Lemonia Argyriou Research Associate at National Center for Scientific Research "Demokritos" Athens, GR

DOI:

https://doi.org/10.56198/

Keywords:

hybrid VR, information-centric networking, virtual humans, 360-degree video streaming, quality of experience, presence, learning

Abstract

The elements of presence and interaction have been connected with high-quality learning in online learning environments. This can be achieved by offering learning environments and material that can engage the learner throughout the learning experience, allowing them to connect with the content, find relevance, construct meaning and critical thinking. Hybrid VR applications offer great potential for engaging learners in environments that accurately capture the world, allowing them to make personal connections and find relevance. Coupled with a branching narrative, computer-generated imagery (CGI) and interactivity can lead to highly engaging learning experiences. Hybrid VR applications, though, are bandwidth-demanding that can impact the learning experience. This paper presents a study comparing the Quality of Experience (QoE) of a hybrid VR application streamed over the standard internet and POINT network under increased network load. The paper presents the project motivations, a pilot study and its output. It closes with conclusions about the effect of the QoE and presence in learning and future directions.

Published

31-10-2025

Conference Proceedings Volume

Section

Conference Proceeedings

How to Cite

Measuring and Comparing QoE of Hybrid VR Applications under Increased Network Load. (2025). Immersive Learning Research - Academic, 1(1), 342-348. https://doi.org/10.56198/

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