Open WebXR versus Commercial Game Engines: A Socio-Technical Position Analysis for an Open, Sustainable, and Interoperable Metaverse
Luca Turchet, Michel Buffa
Abstract
The Metaverse is often framed as a persistent, interoperable, and embodied network of virtual and augmented environments. Yet, most contemporary XR applications are developed through commercial game engines and distributed through proprietary app stores, creating tensions between openness and platform dependency. This paper critically examines open WebXR technologies with conventional commercial game-engine pipelines, with particular attention to XR hardware, software architectures, developer workflows, governance, ethics, and sustainability. We argue that WebXR may provide a viable route toward a more accessible, device-independent, and institutionally sustainable Metaverse, especially for education, research, cultural heritage, prototyping, and public-interest applications. At the same time, commercial engines remain advantageous for graphically intensive, low-latency, deeply integrated, and large-scale XR products. The paper concludes that the choice should not be framed as WebXR versus engines, but as a continuum: WebXR is preferable when accessibility, interoperability, low-friction deployment, and long-term maintainability are primary goals, whereas native engines remain preferable when performance, platform-specific hardware access, and production-grade tooling dominate.
Create a lesson
Related papers
Decreasing Digital Distraction in College Students: Associated Online Learning Strategies Identified by Unsupervised Data Mining Approaches
Hui Shi, Ran Bi, Xi Lin et al.
Shifting from Injection to Interaction: Rethinking Web Security in the Age of LLMs and Beyond
Nivedita Singh, Alsharif Abuadbba, Yansong Gao et al.
Making Gender-Inclusive Practices Actionable: Evaluating a Research-Informed Computing Education Toolkit
Alina Berry, Susan McKeever, Brenda Murphy et al.
Bridging Formal and Perceived Fairness: Development of an Interdisciplinary Framework in Algorithmic Decision-Making
Maike Lindermayr, Mattia Cerrato, Luisa Hübner et al.
The 5P Reflection Model for Education in the Generative Artificial Intelligence (GenAI) Era
Rajan Kadel, Samar Shailendra, Islam Mohammad Tahidul et al.
Multilingual Agent System for Inclusive Wildfire Evacuation Guidance
Shruti Kulkarni, Lynn Tong, Aditi Namboodiripad et al.