Secure and Private Spatial Sharing for Mixed Reality Remote Collaboration in Enterprise Settings

2026-02-05

AI Summary

This study addresses the security and privacy challenges arising from enterprise mixed reality (MR) remote collaboration, where the blending of professional and personal spaces intensifies risks while demanding alignment with data compliance and collaborative needs. Through semi-structured interviews with employees and consultations with experts in cybersecurity, IoT, technology risk, and legal compliance, this work systematically identifies core security and privacy concerns specific to shared MR environments in enterprise settings. Building on qualitative analysis and existing corporate security policies and privacy regulations, the research proposes a conceptual framework for secure MR spatial sharing tailored to organizational contexts. Furthermore, it articulates a set of actionable design principles and implementation guidelines to inform the development and deployment of privacy-preserving MR collaboration systems, offering both theoretical grounding and practical direction for future enterprise applications.

Technology Category

• Machine Learning: Privacy
• Philosophy and Ethics of AI: Privacy & Security
• Application Domains: Security

Application Category

• Security and Privacy: Data transparency and provenance
• User Modeling, Personalization and Recommendation: User privacy protection in personalized systems
• Responsible Web: Data and user privacy-enhancing technologies for the Web

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.

Problem

• Mixed Reality
• Spatial Sharing
• Privacy
• Security
• Enterprise Collaboration

Innovation

• Mixed Reality
• Spatial Sharing
• Enterprise Security
• Privacy Preservation
• Remote Collaboration