Large Language Model Empowered Spatio-Visual Queries for Extended Reality Environments

With the technological advances in creation and capture of 3D spatial data, new emerging applications are being developed. Digital Twins, metaverse and extended reality (XR) based immersive environments can be enriched by leveraging geocoded 3D spatial data. Unlike 2D spatial queries, queries involving 3D immersive environments need to take the query user’s viewpoint into account. Spatio-visual queries return objects that are visible from the user’s perspective.In this paper, we propose enhancing 3D spatio-visual queries with large language models (LLM). These kinds of queries allow a user to interact with the visible objects using a natural language interface. We have implemented a proof-of-concept prototype and conducted preliminary evaluation. Our results demonstrate the potential of truly interactive immersive environments.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825084
Citations
1
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.35

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Large Language Model Empowered Spatio-Visual Queries for Extended Reality Environments

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Large Language Model Empowered Spatio-Visual Queries for Extended Reality Environments

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Abstract

With the technological advances in creation and capture of 3D spatial data, new emerging applications are being developed. Digital Twins, metaverse and extended reality (XR) based immersive environments can be enriched by leveraging geocoded 3D spatial data. Unlike 2D spatial queries, queries involving 3D immersive environments need to take the query user’s viewpoint into account. Spatio-visual queries return objects that are visible from the user’s perspective.In this paper, we propose enhancing 3D spatio-visual queries with large language models (LLM). These kinds of queries allow a user to interact with the visible objects using a natural language interface. We have implemented a proof-of-concept prototype and conducted preliminary evaluation. Our results demonstrate the potential of truly interactive immersive environments.

University of New Brunswick (CA), National Research Council Canada (CA)
National Research Council
Openalex Percentile: Top 39%
Data Management and Algorithms
0.35
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