Storytelling infographics are a powerful medium for communicating data-driven stories through visual presentation. However, existing authoring tools lack support for maintaining story consistency and aligning with users' story goals throughout the design process. To address this gap, we conducted formative interviews and a quantitative analysis to identify design needs and common story-informed layout patterns in infographics. Based on these insights, we propose a narrative-centric workflow for infographic creation consisting of three phases: story construction, visual encoding, and spatial composition. Building on this workflow, we developed InfoAlign, a human-AI co-creation system that transforms long or unstructured text into stories, recommends semantically aligned visual designs, and generates layout blueprints. Users can intervene and refine the design at any stage, ensuring their intent is preserved and the infographic creation process remains transparent. Evaluations show that InfoAlign preserves story coherence across authoring stages and effectively supports human-AI co-creation for storytelling infographic design.

翻译：叙事性信息图表是通过视觉呈现传达数据驱动故事的有力媒介。然而，现有的创作工具在整个设计过程中缺乏对保持故事一致性以及与用户故事目标对齐的支持。为弥补这一不足，我们进行了形成性访谈和定量分析，以确定信息图表中的设计需求和常见的基于故事的布局模式。基于这些见解，我们提出了一种以叙事为中心的信息图表创作工作流，包含三个阶段：故事构建、视觉编码和空间构图。在此工作流基础上，我们开发了InfoAlign，这是一个人机协同创作系统，能够将长篇或非结构化文本转化为故事，推荐语义对齐的视觉设计，并生成布局蓝图。用户可以在任何阶段介入并优化设计，确保其意图得以保留，且信息图表创作过程保持透明。评估表明，InfoAlign在创作各阶段均能保持故事连贯性，并有效支持叙事性信息图表设计的人机协同创作。