用可视化空间帮助作者预判玩家体验，提升AI叙事创作的可控性。
Elsewise: Authoring AI-Based Interactive Narrative with Possibility Space Visualization
- 构建捆绑叙事线概念，可视化不同剧情分支的差异
- 用户研究显示作者对玩家体验的预判准确率显著提升
- 适合想掌控复杂互动叙事的创作者使用
互动叙事（IN）作者为玩家构建多元叙事可能性空间，玩家输入决定其实际体验。生成式AI可通过响应开放式玩家输入，拓展预设内容，创造新型互动叙事。然而这种自由扩展可能拉大作者设想与玩家实际体验之间的差距，削弱情节推进力并影响叙事意图传达。为此，我们提出Elsewise：一种面向AI驱动互动叙事的创作工具，引入新颖的‘捆绑叙事线’概念，增强作者对叙事可能性空间的感知与理解，使作者能够以用户可配置的叙事维度，探索不同游戏进程间的相似性与差异性。一项包含12名参与者的用户研究显示，该方法显著提升了作者对玩家实际体验的预判能力，从而实现更有效的叙事空间控制与探索。
原文摘要 · Abstract (English)
Interactive narrative (IN) authors craft spaces of divergent narrative possibilities for players to explore, with the player's input determining which narrative possibilities they actually experience. Generative AI can enable new forms of IN by improvisationally expanding on pre-authored content in response to open-ended player input. However, this extrapolation risks widening the gap between author-envisioned and player-experienced stories, potentially limiting the strength of plot progression and the communication of the author's narrative intent. To bridge the gap, we introduce Elsewise: an authoring tool for AI-based INs that implements a novel Bundled Storyline concept to enhance author's perception and understanding of the narrative possibility space, allowing authors to explore similarities and differences between possible playthroughs of their IN in terms of open-ended, user-configurable narrative dimensions. A user study (n=12) shows that our approach improves author anticipation of player-experienced narrative, leading to more effective control and exploration of the narrative possibility spaces.
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