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Towards Immersive Computational Storytelling:Card-Framework for Enhanced Persona-Driven Dialogues
  • BINGLI LIAO ,
  • Danilo Vasconcellos Vargas
BINGLI LIAO
Kyushu University

Corresponding Author:[email protected]

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Danilo Vasconcellos Vargas
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Abstract

In the realm of RPGs, creating immersive, persona-driven dialogues remains a challenge, especially in intricate settings like Call of Cthulhu (CoC). Existing methodologies often falter in portraying character personas within complex conversations accurately. To address this, we introduce a novel card-based framework, utilizing the advanced Baichuan-7B language model for tailored dialogue generation. Guided by detailed scene settings and character personas, Baichuan-7B exhibited a striking ability to craft context-aware dialogues for even unseen characters and scenarios. To assess the quality of these dialogues, we present an innovative metric, circumventing the traditional hurdles of human evaluations. Furthermore, insights into the attention mechanism shed light on the dynamics of information flow during dialogue creation. Collectively, our findings underscore the transformative potential of large language models in computational storytelling, particularly in RPG settings.Â