Generative AI has made visual storytelling widely accessible, yet current prompt-based interactions often force users into a trade-off between precise control and creative flow. We present One Kiss, a co-creative comic generation system that introduces "Affective Steering". Instead of writing text prompts, users guide the tone of their story through emoji inputs, whose semantic ambiguity becomes a resource rather than a limitation. Unlike traditional text-to-image tools that rely on explicit descriptions, One Kiss uses a dual-stream input in which users define structural pacing by sketching panel frames and set atmospheric tone by pairing keywords with emojis. This mechanism enables "Genre Flux," where emotional inputs accumulate across panels and gradually shift the genre of a story. A preliminary study (N = 6) suggests that this soft steering approach may reframe the user's role from prompt engineer to narrative director, with ambiguity serving as a source of creative surprise rather than a loss of control.

翻译：生成式人工智能使视觉叙事变得广泛可及，然而当前基于提示的交互方式常迫使用户在精确控制与创作流畅性之间做出取舍。本文提出"一吻"（One Kiss）——一个引入"情感引导"机制的协同创作漫画生成系统。用户无需编写文本提示，而是通过表情符号输入来引导故事基调，其语义模糊性在此转化为资源而非限制。与传统依赖显式描述的文本到图像工具不同，本系统采用双流输入机制：用户通过绘制分镜框定义结构节奏，同时通过关键词与表情符号的组合设定氛围基调。该机制实现了"体裁流变"——情感输入在跨分镜中持续累积，逐步推动故事体裁的演变。初步研究（N = 6）表明，这种柔性引导方式或将用户角色从提示工程师重构为叙事导演，其中模糊性成为创意惊喜的源泉而非控制力的丧失。