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A Vision for AI-Driven Adaptation of Dynamic AR Content to Users and Environments

Julian Rasch, Florian Müller, Francesco Chiossi
2025
arXiv
PDF DOI arXiv
TL;DR
What we did: We designed an AI-driven system for dynamic Augmented Reality content placement that adapts to user movement and environmental changes.
What we found: We found that this system significantly reduces cognitive load by intelligently managing content distribution between external projections and head-mounted displays.
Takeaway: Our approach can transform user experiences in various industries by providing more intuitive and context-aware interactions in dynamic environments.

Abstract

Augmented Reality (AR) is transforming the way we interact with virtual information in the physical world. By overlaying digital content in real-world environments, AR enables new forms of immersive and engaging experiences. However, existing AR systems often struggle to effectively manage the many interactive possibilities that AR presents. This vision paper speculates on AI-driven approaches for adaptive AR content placement, dynamically adjusting to user movement and environmental changes. By leveraging machine learning methods, such a system would intelligently manage content distribution between AR projections integrated into the external environment and fixed static content, enabling seamless UI layout and potentially reducing users’ cognitive load. By exploring the possibilities of AI-driven dynamic AR content placement, we aim to envision new opportunities for innovation and improvement in various industries, from urban navigation and workplace productivity to immersive learning and beyond. This paper outlines a vision for the development of more intuitive, engaging, and effective AI-powered AR experiences.