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Evidence record 14477 · automatically gathered

A Taxonomy of Confabulations and the Perception-Reality Gap in LLM-Assisted Immersive Scene Editing

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

Record details

Published: 25 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Environment
Retrieved: 29 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (25 July 2026), “A Taxonomy of Confabulations and the Perception-Reality Gap in LLM-Assisted Immersive Scene Editing,” evidence record 14477, https://ethics.ai/record/14477 (originally published by arXiv cs.HC).

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