剖析生成式AI在设计研究中的五个思维陷阱，助力突破认知瓶颈。
When Discourse Stalls: Moving Past Five Semantic Stopsigns about Generative AI in Design Research
- 识别并拆解五类阻碍深入探讨的简化叙事框架。
- 基于专家研讨会与访谈，提炼可落地的设计研究知识。
- 适合关注AI与设计融合的研究者与实践者参考。
本文探讨生成式AI（GenAI）如何快速改变设计实践，以及话语常陷入过度简化的叙事，阻碍有意义的研究与实际进展。我们识别并解析了五种普遍存在的‘语义停靠标志’——关于设计中GenAI的简化定义，这些定义会阻止深入探究并限制有效互动。通过反思两次ACM会议上的专家工作坊及对设计从业者的半结构化访谈，分析这些停靠标志在研究与实践中的表现。我们的分析构建了介于理论论述与实际应用之间的中层知识，帮助设计师与研究人员审视自身情境中对GenAI的常见假设。通过将这些停靠标志重构为更细致的框架，我们为设计研究共同体提供了思考和运用新兴技术的实际方法。
原文摘要 · Abstract (English)
This essay examines how Generative AI (GenAI) is rapidly transforming design practices and how discourse often falls into over-simplified narratives that impede meaningful research and practical progress. We identify and deconstruct five prevalent "semantic stopsigns" -- reductive framings about GenAI in design that halt deeper inquiry and limit productive engagement. Reflecting upon two expert workshops at ACM conferences and semi-structured interviews with design practitioners, we analyze how these stopsigns manifest in research and practice. Our analysis develops mid-level knowledge that bridges theoretical discourse and practical implementation, helping designers and researchers interrogate common assumptions about GenAI in their own contexts. By recasting these stopsigns into more nuanced frameworks, we provide the design research community with practical approaches for thinking about and working with these emerging technologies.
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