Secure and Private Spatial Sharing for Mixed Reality Remote Collaboration in Enterprise Settings
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866910013472112640 |
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| author | Chen, Mengyu Do, Youngwook Lu, Feiyu Cheng, Kaiming MacIntyre, Blair |
| author_facet | Chen, Mengyu Do, Youngwook Lu, Feiyu Cheng, Kaiming MacIntyre, Blair |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_06254 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Secure and Private Spatial Sharing for Mixed Reality Remote Collaboration in Enterprise Settings Chen, Mengyu Do, Youngwook Lu, Feiyu Cheng, Kaiming MacIntyre, Blair Human-Computer Interaction 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. |
| title | Secure and Private Spatial Sharing for Mixed Reality Remote Collaboration in Enterprise Settings |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2602.06254 |