AI & ML
SENSE: State-aware Emotion Navigation Storytelling Engine
arXiv cs.HC0 views
arXiv:2610.07666v1 Announce Type: new Abstract: This paper presents SENSE, a state-aware framework for generating playable branching visual novels with multi-track emotional navigation. Integrating a state-based narrative architecture called MIND, a structure analyzer, and a path-aware context management module, SENSE produces narratives that are both structurally coherent and emotionally rich. From minimal high-level inputs, it generates multiple intersecting routes while preserving character consistency and narrative causality. Evaluations using LLM judges, affective metrics, and visual assessments indicate SENSE outperforms baselines in narrative diversity and robust asset integration, while preliminary human trials show directional improvements in emotional fidelity alongside comparable enjoyment.
Source:https://arxiv.org/abs/2610.07666PreviousWhen the Commons Appropriates a Large Language Model: How WikiVault Reshaped Korean WikipediaNextEvaluating human-AI workflows for field research in viticulture
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