{
  "id": 16164,
  "url": "https://arxiv.org/abs/2608.00826v1",
  "title": "XR-PRISM: Data-Driven Privacy and Risk Impact Scoring Metric for Extended Reality in Healthcare",
  "summary": "Extended Reality (XR) technologies are transforming healthcare through immersive training, remote consultation, and patient rehabilitation. However, their extensive sensing capabilities and complex data pipelines introduce distinct security, privacy, and safety risks. Existing research lacks a unified quantitative framework for assessing and prioritizing these risks. We review 65 peer-reviewed studies on XR security and privacy published from 2017 to 2024, synthesizing a four-layer threat taxono",
  "authors": "Nafisa Anjum, M. Rasel Mahmud",
  "category": "research",
  "topics": "privacy-surveillance,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-01T19:04:55.000Z",
  "fetched_at": "2026-08-04T05:10:21.797Z",
  "source_slug": "arxiv-hci",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16164",
  "original_url": "https://arxiv.org/abs/2608.00826v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}