While the proliferation of foundation models has significantly boosted individual productivity, it also introduces a potential challenge: the homogenization of creative content. In response, we revisit Design-by-Analogy (DbA), a cognitively grounded approach that fosters novel solutions by mapping inspiration across domains. However, prevailing perspectives often restrict DbA to early ideation or specific data modalities, while reducing AI-driven design to simplified input-output pipelines. Such conceptual limitations inadvertently foster widespread design fixation. To address this, we expand the understanding of DbA by embedding it into the entire creative process, thereby demonstrating its capacity to mitigate such fixation. Through a systematic review of 85 studies, we identify six forms of representation and classify techniques across seven stages of the creative process. We further discuss three major application domains: creative industries, intelligent manufacturing, and education and services, demonstrating DbA's practical relevance. Building on this synthesis, we frame DbA as a mediating technology for human-AI collaboration and outline the potential opportunities and inherent risks for advancing creativity support in HCI and design research.

翻译：虽然基础模型的普及显著提升了个人生产力，但也带来了潜在挑战：创意内容的同质化。为此，我们重新审视了类比设计——一种基于认知科学的方法，通过跨领域映射灵感来激发创新解决方案。然而，现有观点常将类比设计局限于早期构思阶段或特定数据模态，同时将人工智能驱动的设计简化为输入-输出管道。这种概念局限无意中加剧了广泛存在的设计定势。为解决这一问题，我们通过将类比设计嵌入完整创作流程来拓展其内涵，从而证明其缓解设计定势的潜力。通过对85项研究的系统综述，我们识别出六种表征形式，并将相关技术归类至创作流程的七个阶段。我们进一步探讨了三大应用领域：创意产业、智能制造、教育与服务，展现了类比设计的实践价值。基于此综合框架，我们将类比设计定位为人机协作的中介技术，并展望其在人机交互与设计研究中推动创造力支持的潜在机遇与内在风险。