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End-to-End Testing of Multi-User AR/VR Experiences: Addressing Synchronization and Scalability

Author(s) Santosh Kumar Jawalkar
Country United States
Abstract Background &Problem Statement -Inclusive Multiuser Environments: Dynamic Scalability for AR/VR Gaming, Education, and Remote Collaboration Recent advances in Augmented Reality (AR) and Virtual Reality (VR) technologies rapidly enable immersive multi-user settings in applications like gaming, education, and remote collaboration. However, synchronization, interaction consistency, and scalability in multi-user AR/VR environments are still an open problem. These applications are far more complex than traditional software testing methods, so, they require custom-built end-to-end testing strategies to ensure uninterrupted real-time interactions.
Challenges & Testing Methodologies -Multi-user AR/VR apps need accurate synchronization of virtual states, stable user interactions, and effective load management of high concurrency. The study examines key testing methodologies such as synchronization validation, gesture and motion tracking consistency, load testing for server capability and network performance analysis. Solutions to address these challenges are important so constructive shared immersive experiences and undesired consistency derivatives like desynchronization and latency cannot be visible.
Tools/ Technologies & Experimental Results -Tools & Techniques: Systematic testing was done using various tools and technologies such as Unity Profiler, Unreal Insights, Apache JMeter, and Wireshark. In VR collaboration platforms, large-scale AR gaming environments and industrial training simulations highlighted performance bottlenecks and their remedy in experimental case studies. Understanding how adaptive synchronization, cloud-based scalability solutions, and edge computing reduced latency and enhanced multi-user interaction increased the user experience.
Findings & Conclusions -Most importantly, the results show that successful multi-user AR/VR platforms require effective end-to-end testing strategies. Consequently, incorporating AI for automated testing, blockchain synchronization, and 5G technology are recommended future directions for AR/VR systems testing frameworks. These advancements will improve performance, scalability, and real-time synchronization, providing more reliable, immersive, and frictionless multi-user AR/VR experiences.
Keywords AR/VR Testing, Multi-User Synchronization, Load Testing, Interaction Consistency, Scalability, Network Latency, AI-Driven Testing, Edge Computing, Cloud-Based Testing, Real-Time Performance Optimization, Gesture Tracking, Blockchain Synchronization, 5G Integration in AR/VR, Automated Testing Frameworks, Server Load Management
Field Engineering
Published In Volume 4, Issue 4, April 2023
Published On 2023-04-05
Cite This End-to-End Testing of Multi-User AR/VR Experiences: Addressing Synchronization and Scalability - Santosh Kumar Jawalkar - IJLRP Volume 4, Issue 4, April 2023. DOI 10.5281/zenodo.15026353
DOI https://doi.org/10.5281/zenodo.15026353
Short DOI https://doi.org/g88f32

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