WebverseTest: A Standardized Benchmarking Framework for Web-Metaverse Integration
Yunkai Fu, Xinyao Wei, Zhicheng Liu, Nanxi Chen, Jinyuan Jia · 2024
With the advent of Web3.0 and Metaverse technologies, there is a growing interest in integrating web and metaverse environments to create immersive, cross-platform "Webverse" experiences. Despite active research in this area, the lack of standardized testing approaches has hindered the development of robust Webverse applications. This paper addresses this gap by proposing a comprehensive framework for testing Web-Metaverse integrations. We analyze existing Webverse platforms, characterize different stages and scenes through network data analysis, and design a suite of standardized tests. Furthermore, we implement a one-stop benchmarking tool tailored for web-based metaverse applications. The fidelity of our tool is validated through comparisons with human testing results. To demonstrate its applicability, we utilize the proposed testing process to evaluate and compare Webverse implementations on popular platforms like Galacean and Mozilla Hubs, deployed on their respective servers. The outcomes highlight platform-specific differences and the efficacy of our standardized approach in enabling seamless Web-Metaverse convergence.