Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction
This work addresses the challenge of improving user experience and solving complex interaction design in mixed reality, though it appears incremental by building on existing scene reconstruction and deep learning methods.
The authors tackled the problem of enhancing mixed reality interactions by developing a semantic-based framework that moves beyond geometry-level approaches, resulting in accurate and fast semantic information for context-aware interactions.
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.