Interactive Graph Visualization Framework In Virtual Reality Environments

Virtual Reality (VR) technology has had a significant impact on various sectors, particularly gaming and education. This is due to its ability to deliver immersive learning experiences. As VR emerges as a transformative tool for knowledge acquisition, designing efficient VR applications are considered challenging. This is because it requires meticulous design, robust evaluation, and optimised management of hardware resources. According to the state of the art, several design approaches have been proposed by VR developers; however, most of these approaches have not been well-evaluated due to a lack of VR evaluation frameworks. In this work, we present an interactive framework for graph visualisation based on discrete algorithms for adjacency-matrix modeling and force-directed layouts. The framework supports real-time multiuser collaboration and efficient rendering through GPU-based compute shaders. To validate the algorithmic design, we integrate the system into A VR platform applied to biological education. Experimental results show optimised performance, high task success rates, and intense immersion, confirming the potential of algorithmic graph visualisation in immersive learning environments.