QoS, Privacy, and Security Challenges in Deploying Metaverse-Based Virtual Reality Learning for Children with Dyslexia: A Case Study

Document Type

Conference Proceeding

Source of Publication

IEEE International Workshop on Quality of Service Iwqos

Publication Date

6-1-2026

Abstract

Metaverse-based virtual reality (VR) applications hold significant promise for supporting children with dyslexia through immersive, personalized learning experiences. However, deploying such applications in real-world settings with vulnerable populations introduces operational challenges that the existing literature has not adequately addressed. This paper presents a case study of a metaverse-based VR learning application deployed with 12 children with dyslexia aged 8 to 13 years, primarily in therapy centers in the UAE, examining the quality of service (QoS), privacy, and security challenges encountered. Drawing on direct observations using Meta Quest 3 VR headsets and the Frame platform, we document QoS-related challenges, privacy risks specific to AI-enabled metaverse applications, and security challenges inherent to multi-stakeholder deployments involving vulnerable populations. We further present a cross-dimensional analysis demonstrating that these challenges interact in ways that carry ethical weight: QoS degradation affects learning continuity, privacy gaps expose sensitive disability-related data, and inadequate security puts vulnerable children at risk. Based on these findings, we propose five design guidelines for developers, institutions, and practitioners. This work contributes empirical grounding to an underexplored intersection of QoS, privacy, security, and vulnerable population deployment in educational metaverse contexts.

ISBN

[9798319517036]

ISSN

1548-615X

Publisher

IEEE

Disciplines

Computer Sciences | Education

Keywords

AI, dyslexia, metaverse, privacy, quality of service, security, virtual reality

Scopus ID

105049167778

Indexed in Scopus

yes

Open Access

no

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