MRtransformer: Transforming Avatar Non-verbal Behavior for Remote MR Collaboration in Incongruent Spaces

Avatar-mediated remote MR collaboration allows users in different<br/>spaces to interact as if they were together. However, directly<br/>applying a user’s motion to an avatar in incongruent spaces leads<br/>to ambiguous and error-prone communication. This paper introduces<br/>MRTransformer, a technique enabling dynamic MR collaboration<br/>across dissimilar spaces. By adapting transformations to<br/>user movements, MRTransformer preserves non-verbal cues and<br/>spatial context. It also allows flexible management of collaboration<br/>areas and remote object visualization, enhancing remote collaborations.<br/>A user study evaluated MRTransformer’s effectiveness<br/>in preserving non-verbal cues and spatial awareness, and examined<br/>social presence and privacy concerns. Findings offer implications<br/>for future remote MR collaboration research and design.