{
  "id": 14477,
  "url": "https://arxiv.org/abs/2607.23213v1",
  "title": "A Taxonomy of Confabulations and the Perception-Reality Gap in LLM-Assisted Immersive Scene Editing",
  "summary": "Large language models (LLMs) are being increasingly integrated into immersive environments and design workflows, providing application prospects in areas such as rapid scene prototyping for non-expert users and scene understanding capabilities for accessibility design. While many workflows that incorporate LLMs in immersive spaces are proposed, such systems can exhibit errors, potentially resulting in frustration, loss of user trust, and compromised user safety. This paper studies the underexplo",
  "authors": "Junlong Chen, Per Ola Kristensson",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-25T14:04:55.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "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/14477",
  "original_url": "https://arxiv.org/abs/2607.23213v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}