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Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction

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arxiv 1803.05541 v1 pith:OXF2LPBC submitted 2018-03-14 cs.CV

classification cs.CV
keywords semanticframeworkcontext-awareinteractionsinteractiveenvironmentexperiencegenerating
verification ladder T0 review T1 audit T2 compute T3 formal
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Mixed Reality (MR) is a powerful interactive technology that yields new types of user experience. We present a semantic based interactive MR framework that exceeds the current geometry level approaches, a step change in generating high-level context-aware interactions. Our key insight is to build semantic understanding in MR that not only can greatly enhance user experience through object-specific behaviours, but also pave the way for solving complex interaction design challenges. The framework generates semantic properties of the real world environment through dense scene reconstruction and deep image understanding. We demonstrate our approach with a material-aware prototype system for generating context-aware physical interactions between the real and the virtual objects. Quantitative and qualitative evaluations are carried out and the results show that the framework delivers accurate and fast semantic information in interactive MR environment, providing effective semantic level interactions.

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Cited by 1 Pith paper

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  1. CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

    cs.HC 2025-01 conditional novelty 6.0 of 10

    CARING-AI combines ChatGPT text generation, environment scanning, and smoothed text-to-motion diffusion to let authors create spatially grounded AR avatar instructions without coding or motion capture.

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