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作 者:路鹏 唐建[1] 吴凡 Lu Peng;Tang Jian;Wu Fan
机构地区:[1]大连理工大学建筑与艺术学院 [2]大连工业大学艺术设计学院
出 处:《艺术设计研究》2025年第1期94-101,109,140,141,共11页Art & Design Research
基 金:国家自然科学基金项目“基于生成式AI的汽车前脸造型个性化定制设计方法研究”(项目编号:52405252);辽宁省社会科学联合会青年项目“基于生成式人工智能的产品设计策略研究”(项目编号:2024lslqnkt-030)的阶段性成果。
摘 要:随着生成式人工智能(Generative Artificial Intelligence,GAI)技术的迅猛发展,其在产品设计中的潜在应用逐渐成为学术界和产业界关注的焦点。本文旨在构建一个以GAI为驱动力的产品设计思维模型,并探讨其在产品设计中应用的可行性。通过对国际上五种经典的设计思维模型进行系统梳理,并综合GAI的技术原理和功能系统,本文探讨了GAI对产品设计流程和思维模型的革新与重塑作用。最终,基于文本和图像的GAI构建了一个遵循“询问——生成——转化——评价”流程的产品设计思维模型,并以实际案例对其可行性进行了分析。本研究基于GAI所构建的产品设计思维模型推动了人工智能与设计的深度融合,革新了传统设计流程,促进了产品设计思维模型的可持续发展。With the rapid advancement of Generative Artificial Intelligence(GAI)technology,its potential applications in product design have become a key focus for both academia and industry.Although some scholars have recognized GAI as a transformative tool for enhancing design efficiency,few have proposed a design thinking model specifically tailored to product design based on GAI.To address this gap,this study aims to develop a GAI-driven design thinking model and validate its feasibility in product design.First,this paper systematically reviews five classic international design thinking models,analyzes their structured procedural steps,and summarizes their common features to extract a core framework for design thinking models.Based on this framework,the study explores how various types of GAI can revolutionize and reshape product design thinking models by leveraging their underlying principles and functional systems.Ultimately,a GAI-driven design thinking model following the process of“Inquire–Generate–Transform–Evaluate”is proposed,integrating Text GAI—ChatGPT,and Image GAI—Midjourney and Stable Diffusion.In the“Inquire”phase,ChatGPT is used to analyze the emotional needs of target product users,distilling these into typical imagery adjectives and selecting target imagery.During the“Generate”phase,the target imagery serves as a key prompt phrase input into Midjourney’s“/imagine”command to generate many design concepts as reference forms.In the“Transform”phase,a base form and a reference form are selected,their morphological feature curves are extracted,and a curve blending method is applied to generate new form curves.These two-dimensional curves are quickly converted into three-dimensional design prototypes using Stable Diffusion.Finally,in the“Evaluate”phase,design prototypes are assessed through qualitative perceptual evaluation questionnaires and quantitative Analytic Hierarchy Process(AHP)methods,with the optimal design solution selected based on the correlation between the two
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