Spatial Heterogeneity in Distributed Mixed Reality Collaboration

要旨

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.

著者
Emily Wong
The University of Sydney, Sydney, NSW, Australia
Adélaïde Genay
University of Melbourne, Melbourne, VIC, Australia
Jens Emil Sloth. Grønbæk
Aarhus University, Aarhus, Denmark
Eduardo Velloso
University of Sydney, Sydney, New South Wales, Australia
DOI

10.1145/3706598.3714033

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714033

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Spatial Interactions

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7 件の発表
2025-05-01 01:20:00
2025-05-01 02:50:00
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