Secure and Private Spatial Sharing for Mixed Reality Remote Collaboration in Enterprise Settings
Mengyu Chen, Youngwook Do, Feiyu Lu, Kaiming Cheng, Blair MacIntyre
TL;DR
This work addresses the security and privacy risks of multi-user MR spatial sharing in enterprise contexts, where employees and organizations have competing needs. It employs formative employee interviews and expert-domain consultations to build a conceptual framework and a probe-based design that demonstrates a policy-driven, privacy-preserving spatial-sharing pipeline. The authors identify key design requirements and propose actionable recommendations, including context-aware access control, policy communication, and jurisdiction-specific compliance. The study lays groundwork for practical, secure MR deployments in enterprise settings by balancing collaboration benefits with data protection and legal obligations.
Abstract
Mixed Reality (MR) technologies are increasingly adopted by enterprises to enhance remote collaboration, enabling users to share real-time views of their physical environments through head-mounted displays (HMDs). While MR spatial sharing offers significant benefits, it introduces complex security and privacy risks, particularly in balancing employee collaboration needs with enterprise data protection requirements across office and personal spaces. This paper investigates these challenges through formative interviews with employees and expert consultations with professionals in cybersecurity, IoT, technology risk, and corporate legal domains. We present a conceptual framework for secure MR spatial sharing in enterprise contexts and identify critical concerns and requirements for system design. Based on our findings, we offer actionable recommendations to guide the development of secure and privacy-preserving MR spatial sharing solutions for future enterprise deployments.
