MRtransformer

Cheng Yao Wang, Hyunju Kim, Payod Panda, Eyal Ofek, Mar Gonzalez Franco, Andrea Stevenson Won

Published: 02 Dec 2024, Last Modified: 01 Mar 20262024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Avatar-mediated remote MR collaboration allows users in different spaces to interact as if they were together. However, directly applying a user’s motion to an avatar in incongruent spaces leads to ambiguous and error-prone communication. This paper introduces MRTransformer, a technique enabling dynamic MR collaboration across dissimilar spaces. By adapting transformations to user movements, MRTransformer preserves non-verbal cues and spatial context. It also allows flexible management of collaboration areas and remote object visualization, enhancing remote collaborations. A user study evaluated MRTransformer’s effectiveness in preserving non-verbal cues and spatial awareness, and examined social presence and privacy concerns. Findings offer implications for future remote MR collaboration research and design.