Spatial Heterogeneity in Distributed Mixed Reality Collaboration

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

*Corresponding author for this work

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

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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.
Original languageEnglish
Title of host publicationCHI '25 : Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Publication date24 Apr 2025
ISBN (Electronic)979-8-4007-1394-1
DOIs
Publication statusPublished - 24 Apr 2025
EventCHI '25: CHI Conference on Human Factors in Computing Systems - Yokohama, Japan
Duration: 26 Apr 20251 May 2025
https://chi2025.acm.org/

Conference

ConferenceCHI '25: CHI Conference on Human Factors in Computing Systems
Country/TerritoryJapan
CityYokohama
Period26/04/202501/05/2025
Internet address

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