专家用模糊指令与AI反复互动，激发创意灵感。
Vibe to Code: Elucidating Strategic Oscillation of Tacit Knowledge in Generative AI Design Workflows -- An Exploratory Qualitative Study
- 设计者在明确指令与模糊表达间来回切换，利用AI的不确定性探索创意。
- 发现认知冲突后会深度反思，推动想法转化，形成闭环迭代。
- 适合需要提升人机协作中隐性知识表达能力的设计团队。
生成式AI工具的快速普及，要求设计师将隐性知识通过自然语言提示外化。然而，设计师在迭代对话中如何将内在意图外显的微观认知过程仍缺乏研究。本探索性定性研究通过对5位资深设计师（平均15.4年UI/UX经验）进行出声思考法分析，识别出“战略振荡”现象：专家在向具体规范（Code）推进后，有意返回模糊表述（Vibe），借由AI的概率特性进行创造性探索。研究观察到从“指令”到“咨询”模式的转变，语义碰撞引发深度反思，其中一位参与者因概念不一致而脱节，暗示概念对齐可能是关键边界条件。提出ECRT循环（期望-碰撞-反思-转化），用于操作化SECI模型中的“外部化”阶段。研究提炼三种元认知支持设计模式，并将AI定位为“概率镜像”，促进隐性知识的外显。
原文摘要 · Abstract (English)
The rapid adoption of generative AI tools has created new literacy demands for designers who must verbalize tacit knowledge through natural language prompts. Yet the micro-level cognitive processes by which designers externalize implicit intentions during iterative AI dialogue remain underexplored. This exploratory qualitative study examined five expert designers (11-20 years UI/UX experience, M = 15.4 years) using think-aloud protocols. We identified "Strategic Oscillation" -- experts' intentional return to vague language (Vibe) after progressing toward operational specifications (Code), leveraging AI's probabilistic nature for creative exploration. We observed shifts from "instruction" to "consultation" mode, deep reflection triggered by semantic collisions, and one participant's disengagement revealing conceptual alignment as a tentative boundary condition. We propose the ECRT cycle (Expectation-Collision-Reflection-Transformation) operationalizing the SECI model's "externalization" phase for human-AI collaboration. These findings yield three design patterns for metacognitive support and position AI as a "probabilistic mirror" catalyzing tacit knowledge externalization.
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