Lune

CHI2025Top-tier venue

Spatial Heterogeneity in Distributed Mixed Reality Collaboration

Emily Wong, Adélaïde Genay, Jens Emil Sloth Grønbæk, Eduardo Velloso

2025Year
12Citations
6Top-tier citations

Abstract

Collaborative Mixed Reality (MR) enables embodied meetings for distributed collaborators working across a variety of locations. However, providing a coherent experience for all users regardless of the spatial configurations of their respective physical environments is a central challenge. We present the Spatial Heterogeneity Framework, which breaks the problem into four core components: the activity zones, heterogeneity ladder, blended proxemics, and MR solutions matrix. We explain the interplay between these components, demonstrating their interconnectivity via a case study. Our framework enables researchers to navigate differences and trade-offs between solutions for distributed MR collaboration. It also supports designers to think about the role of space, technology, and social behaviours in MR collaboration. Ultimately, our contributions advance the field by conceptualising the challenges of spatial heterogeneity and strategies to overcome them.

Ask about this paper

Ask your agent about it.

Lune has read the top-tier papers around this one, so every answer names the papers it rests on.

Questions to start from

Your agent calls

Lunesearch_papers

Ask in Lune

Free to start. No credit card required.

lune papers get 4b70ab30-2a56-4fbc-b17b-def690e44280

Cited by top-tier papers6

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines