In this paper, we improve upon existing Virtual Reality (VR) research with regard to the pedagogical use of VR for explaining Deep Neural Networks. We achieved a comprehensive understanding in five steps: a review of previous work in the field, a thorough characterization of existing issues, the development and programming of a novel VR-based software tailored for various ANN models, a detailed evaluation of this system, and a critical discussion on the future outlook and significance of this research. The results demonstrate the VR system’s effectiveness in making complex AI systems more accessible to non-experts, thereby contributing to the field of explainable AI (XAI).
Visualizing Deep Neural Networks in Virtual Reality
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