Ambient Intelligence in Immersive Realities

The growing presence of large language models (LLMs) and connected sensors or the Internet of Things (IoT) offers substantial potential across various tasks and fields, albeit with accompanying challenges. On the other hand, as advances in spatial computing redefine immersive interactions, ambient intelligence becomes essential for enabling environments that intuitively respond to user behavior without explicit commands. By fusing real-time sensory input with LLM-driven reasoning, ambient intelligence transforms spatially embedded systems into adaptive, context-aware, and human-centered digital experiences. In fact, according to reports,1 two prominent technological trends of 2025 are spatial computing and ambient invisible intelligence.

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Publication Details

Journal
IEEE Multimedia
Published
2025-04-01
DOI
https://doi.org/10.1109/mmul.2025.3590111
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Ambient Intelligence in Immersive Realities

IEEE Multimedia
Geochemistry and Geologic Mapping
article

Ambient Intelligence in Immersive Realities

article en

Abstract

The growing presence of large language models (LLMs) and connected sensors or the Internet of Things (IoT) offers substantial potential across various tasks and fields, albeit with accompanying challenges. On the other hand, as advances in spatial computing redefine immersive interactions, ambient intelligence becomes essential for enabling environments that intuitively respond to user behavior without explicit commands. By fusing real-time sensory input with LLM-driven reasoning, ambient intelligence transforms spatially embedded systems into adaptive, context-aware, and human-centered digital experiences. In fact, according to reports,1 two prominent technological trends of 2025 are spatial computing and ambient invisible intelligence.

IEEE MultimediaVol. 32(2)
Albany State University (US), The University of Texas at Tyler (US), University at Albany, State University of New York (US)
Openalex Percentile: Top 36%
Geochemistry and Geologic Mapping
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