GRIM：遊戲的基於圖形的互動敘事可視化

摘要

基於對話的角色扮演遊戲（RPG）需要強大的故事情節。這些故事情節可能需要數年才能完成，通常涉及一個龐大的創作團隊。在這項工作中，我們展示了大型生成文本模型協助這個過程的潛力。GRIM是一個原型系統，名為GRaph-based Interactive narrative visualization system for gaMes，它生成一個豐富的敘事圖，具有分支故事情節，符合設計師提供的高層次敘事描述和約束條件。遊戲設計師可以通過自動生成符合原始敘事和約束條件內容的新子圖來互動編輯該圖。我們演示了GRIM與GPT-4的應用，為四個知名故事生成具有不同情境約束的分支故事情節。

English

Dialogue-based Role Playing Games (RPGs) require powerful storytelling. The narratives of these may take years to write and typically involve a large creative team. In this work, we demonstrate the potential of large generative text models to assist this process. GRIM, a prototype GRaph-based Interactive narrative visualization system for gaMes, generates a rich narrative graph with branching storylines that match a high-level narrative description and constraints provided by the designer. Game designers can interactively edit the graph by automatically generating new sub-graphs that fit the edits within the original narrative and constraints. We illustrate the use of GRIM in conjunction with GPT-4, generating branching narratives for four well-known stories with different contextual constraints.

GRIM：遊戲的基於圖形的互動敘事可視化

GRIM: GRaph-based Interactive narrative visualization for gaMes

摘要

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