XRintTest: An automated framework for user interaction testing in extended reality applications

Authors: Gu, R., Rojas, J.M., Shin, D.
Cited by: 0

Abstract

Extended Reality (XR) technologies offer immersive user experiences across diverse application domains, presenting unique testing challenges due to their spatial interaction paradigms. While existing works test XR applications through scene navigation and interaction triggering, they fail to synthesise realistic spatial input via specialised XR devices, such as 6 degrees of freedom controller gestures, that are essential for modern XR user experiences. To address this gap, we present XRintTest, an automated testing framework for Unity-based XR applications. XRintTest starts by constructing an XR User Interaction Graph that models interaction targets and required events. Leveraging this graph, it then automatically explores the XR scene under test and generates user interactions. We evaluated XRintTest on XRBench3D, a novel benchmark comprising seven XR scenes containing 367 distinct 3D user interactions. XRintTest shows great effectiveness, achieving 97% coverage of trigger and grab interactions across all scenes, 9x more effective and 5x more efficient than random exploration, while detecting runtime exceptions and functional defects. We open-sourced our tool and dataset at https://github.com/ruizhengu/XRintTest and https://github.com/ruizhengu/XRBench3D, respectively. A video demo is available on YouTube at https://youtu.be/K0Q6waE47Us.

Fields of Study & Subjects

Interactive and Immersive Displays Augmented Reality Applications Virtual Reality Applications and Impacts

Publication details

Journal / source
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Publication date
28 January 2026
Language
EN