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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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From LLM Prompts to Runtime-Validated Immersive Experiences: Constraint-Guided Co-Authoring, Behavioral Validation, and Multisensory Orchestration

Authors: Riccio, Dario; Guarnieri, Edoardo;

From LLM Prompts to Runtime-Validated Immersive Experiences: Constraint-Guided Co-Authoring, Behavioral Validation, and Multisensory Orchestration

Abstract

This preprint presents TholusOS, a constraint-guided co-authoring architecture for translating LLM-generated creative intent into runtime-validated multisensory experiences. The system separates deterministic structural decisions from bounded AI-authored content through a system-owned experience skeleton and a hierarchical compilation process. A macro compiler defines targets, progression, emotional windows, required surfaces, and readiness evidence, while a micro choreography compiler maps creative moments to semantic anchors, modality lanes, temporal placements, and runtime cues. TholusOS further introduces family-aware progression and observability audits, mode-dependent defect escalation, typed timing contracts, proposal-only repair, human review, revalidation, and audience-specific readiness gates. The architecture is implemented for immersive environments coordinating projection, audio, lighting, participant phones, wind and low-frequency actuators, runtime scheduling, and operator workflows. The paper documents the implemented system architecture, its current maturity boundaries, and a reproducible evaluation plan. It does not claim completed comparative benchmarks, audience studies, operator studies, or hardware-in-the-loop validation. Publication status: Preprint, Version 1.0. This manuscript has not undergone formal peer review.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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