Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.3519
Publisher DOI: 10.1145/3816767
Title: WebXRIT : a lightweight interaction toolkit to create virtual reality training applications for WebXR with Unity
Language: English
Authors: Hentschel, Tino 
Neuhöfer, Jan 
Dresel, Markus 
Klasen, Ove Brent 
Goldbach, Philipp 
Jochems, Nicole 
Editor: Zhai, Yubing 
Schick, Stacey 
Nichols, Jeff 
Other : Association for Computing Machinery 
Keywords: Virtual Reality Training; WebXR; Human Computer Interaction; Nursing Education
Issue Date: 2026
Publisher: Association for Computing Machinery
Journal or Series Name: Proceedings of the ACM on human-computer interaction 
Volume: 10
Issue: 4
Project: Digital-interaktive Ausbildung von Pflegepersonal mit Migrationshintergrund 2.0 
Conference: ACM SIGCHI Symposium on Engineering Interactive Computing Systems 2026 
Abstract: 
Immersive Virtual Reality (IVR) offers promising opportunities for education and training, yet its broader adoption in web-based learning environments remains limited due to performance constraints and the lack of support for industry-standard game engines. This paper presents the WebXR Interaction Toolkit (WebXRIT), a lightweight framework for creating WebXR-based training applications in Unity. Designed to provide essential interaction functionalities while minimizing runtime overhead, WebXRIT integrates with the open-source WebXR Export plugin and follows Unity’s component-based interaction architecture. To evaluate its runtime performance, we compared WebXRIT with Unity’s default XR Interaction Toolkit (XRIT) across twelve valid build configurations (varying editor version, render pipeline, and color space) using the Meta Quest 3. Results show that WebXRIT consistently outperforms XRIT, achieving significantly higher frame rates in multiple configurations, with mean values up to 78 FPS, exceeding the recommended threshold for native IVR applications. These findings highlight the potential of the WebXRIT to enable performant and accessible IVR training applications on the web. Future work will extend our toolkit with support for hand tracking, AR interaction, and additional navigation and UI components.
URI: https://hdl.handle.net/20.500.12738/19532
DOI: 10.48441/4427.3519
ISSN: 2573-0142
Review status: This version was peer reviewed (peer review)
Institute: Fakultät Informatik und Digitale Gesellschaft 
Type: Chapter/Article (Proceedings)
Funded by: Bundesministerium für Gesundheit 
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