Visualization of AI Systems in Virtual Reality: A Comprehensive Review

TL;DR

This comprehensive review analyzes how virtual reality is used to visualize AI systems across various domains, highlighting current tools, challenges, and future research directions in this emerging field.

Contribution

It provides a detailed synthesis of existing VR-based AI visualization techniques, identifies key challenges, and proposes a roadmap for future research and innovation.

Findings

VR tools like Unreal Engine and Unity are prominent in AI visualization.

Effective AI visualization in VR remains elusive due to data complexity and cognitive load.

The field shows significant potential despite current challenges.

Abstract

This study provides a comprehensive review of the utilization of Virtual Reality (VR) for visualizing Artificial Intelligence (AI) systems, drawing on 18 selected studies. The results illuminate a complex interplay of tools, methods, and approaches, notably the prominence of VR engines like Unreal Engine and Unity. However, despite these tools, a universal solution for effective AI visualization remains elusive, reflecting the unique strengths and limitations of each technique. We observed the application of VR for AI visualization across multiple domains, despite challenges such as high data complexity and cognitive load. Moreover, it briefly discusses the emerging ethical considerations pertaining to the broad integration of these technologies. Despite these challenges, the field shows significant potential, emphasizing the need for dedicated research efforts to unlock the full potential of these immersive technologies. This review, therefore, outlines a roadmap for future research, encouraging innovation in visualization techniques, addressing identified challenges, and considering the ethical implications of VR and AI convergence.