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Auteur principal: Zeng, Baichuan
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2504.15970
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author Zeng, Baichuan
author_facet Zeng, Baichuan
contents Extended Reality (XR), encompassing Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR), is a transformative technology bridging the physical and virtual world and it has diverse potential which will be ubiquitous in the future. This review examines XR's evolution through foundational framework - hardware ranging from monitors to sensors and software ranging from visual tasks to user interface; highlights state of the art (SOTA) XR products with the comparison and analysis of performance based on their foundational framework; discusses how commercial XR devices can support the demand of high-quality performance focusing on spatial intelligence. For future directions, attention should be given to the integration of multi-modal AI and IoT-driven digital twins to enable adaptive XR systems. With the concept of spatial intelligence, future XR should establish a new digital space with realistic experience that benefits humanity. This review underscores the pivotal role of AI in unlocking XR as the next frontier in human-computer interaction.
format Preprint
id arxiv_https___arxiv_org_abs_2504_15970
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Recent Advances and Future Directions in Extended Reality (XR): Exploring AI-Powered Spatial Intelligence
Zeng, Baichuan
Human-Computer Interaction
Computer Vision and Pattern Recognition
Multiagent Systems
Extended Reality (XR), encompassing Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR), is a transformative technology bridging the physical and virtual world and it has diverse potential which will be ubiquitous in the future. This review examines XR's evolution through foundational framework - hardware ranging from monitors to sensors and software ranging from visual tasks to user interface; highlights state of the art (SOTA) XR products with the comparison and analysis of performance based on their foundational framework; discusses how commercial XR devices can support the demand of high-quality performance focusing on spatial intelligence. For future directions, attention should be given to the integration of multi-modal AI and IoT-driven digital twins to enable adaptive XR systems. With the concept of spatial intelligence, future XR should establish a new digital space with realistic experience that benefits humanity. This review underscores the pivotal role of AI in unlocking XR as the next frontier in human-computer interaction.
title Recent Advances and Future Directions in Extended Reality (XR): Exploring AI-Powered Spatial Intelligence
topic Human-Computer Interaction
Computer Vision and Pattern Recognition
Multiagent Systems
url https://arxiv.org/abs/2504.15970