超越输入输出：通过类比设计重新思考人机协作中的创造力
Beyond Input-Output: Rethinking Creativity through Design-by-Analogy in Human-AI Collaboration
AI总结：
本文通过类比设计方法，重新思考人机协作中的创造力问题，探讨其在创意产业、智能制造和教育服务中的应用，提出DbA作为中介技术促进创造力发展。
摘要：
尽管基础模型的普及显著提升了个体生产力，但也引入了潜在挑战：创意内容的同质化。对此，我们重新审视类比设计（DbA），一种以认知为基础的方法，通过跨领域的灵感映射促进创新解决方案。然而，现有观点往往将DbA限制在早期构思或特定数据模态，而将AI驱动的设计简化为输入输出流程。这种概念限制无意中导致了广泛的设计固化。为解决此问题，我们通过将DbA嵌入整个创意过程中，展示了其缓解此类固化的潜力。通过系统回顾85项研究，我们识别出六种表示形式，并在创意过程的七个阶段中分类技术。我们进一步讨论了三个主要应用领域：创意产业、智能制造和教育与服务，展示了DbA的实践相关性。基于此综合，我们将DbA框架为人类与AI协作的中介技术，并概述了推进创造力支持在人机交互和设计研究中的潜在机遇和固有风险。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
