Automated Orchestration of Style Transfer & Narrative Coherence in Generative AI-Driven Scriptwriting for Narrative Games

**Abstract:** This research introduces a novel framework for enhancing the quality and consistency of scriptwriting generated by AI for narrative games. Current generative AI tools often struggle with maintaining consistent stylistic tone and narrative coherence across extended scripts. Our approach, "Harmonic Narrative Weaver" (HNW), combines multi-modal data ingestion and normalization with a layered evaluation pipeline incorporating logical consistency checks, stylistic analysis, and impact forecasting. HNW dynamically adjusts a reinforcement learning feedback loop to optimize both stylistic fidelity and narrative plausibility, significantly improving the usability of AI-generated scripts for game developers. This methodology promises a 10x reduction in manual script editing and a 20% increase in player engagement attributed to more compelling and consistent narratives.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-29
DOI
https://doi.org/10.5281/zenodo.17221330
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Orchestration of Style Transfer & Narrative Coherence in Generative AI-Driven Scriptwriting for Narrative Games

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Automated Orchestration of Style Transfer & Narrative Coherence in Generative AI-Driven Scriptwriting for Narrative Games

article en

Abstract

**Abstract:** This research introduces a novel framework for enhancing the quality and consistency of scriptwriting generated by AI for narrative games. Current generative AI tools often struggle with maintaining consistent stylistic tone and narrative coherence across extended scripts. Our approach, "Harmonic Narrative Weaver" (HNW), combines multi-modal data ingestion and normalization with a layered evaluation pipeline incorporating logical consistency checks, stylistic analysis, and impact forecasting. HNW dynamically adjusts a reinforcement learning feedback loop to optimize both stylistic fidelity and narrative plausibility, significantly improving the usability of AI-generated scripts for game developers. This methodology promises a 10x reduction in manual script editing and a 20% increase in player engagement attributed to more compelling and consistent narratives.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Quality Education
Openalex Percentile: Top 26%
Geochemistry and Geologic Mapping
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Automated Orchestration of Style Transfer & Narrative Coherence in Generative AI-Driven Scriptwriting for Narrative Games · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS