生成语法
能力(人力资源)
产品设计
生成设计
工程类
新产品开发
产品(数学)
制造工程
计算机科学
工程伦理学
系统工程
人机交互
工程管理
心理学
业务
人工智能
运营管理
营销
数学
几何学
社会心理学
公制(单位)
作者
Kejun Zhang,Xiaoran Zhang,Wenqi Wu,Songruoyao Wu,Shixuan Cai,Hanshu Shen
出处
期刊:Design Journal
[Routledge]
日期:2025-03-03
卷期号:28 (3): 452-474
被引量:18
标识
DOI:10.1080/14606925.2025.2462862
摘要
As generative artificial intelligence (AI) is increasingly applied in product design, identifying the new competence designers need to adapt to industry changes has become a topic of high interest in the design community. This study aims to construct a new design competence framework to deepen the understanding of the competence dimensions required by designers in the era of generative AI. First, the initial framework was determined through a literature review. Then, through three rounds of empirical research—semi-structured interviews (N = 35), expert surveys (N = 36), and designer surveys (N = 109)—the specific content of the framework was repeatedly evaluated and refined. Finally, the framework was applied to design practice (N = 43) to explore its impact on design outcomes. The study concluded that design competence in the era of generative AI consists of four core aspects: design aesthetics competence, design thinking competence, design practice competence, and design resilience competence.
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