认知风格
认知
概念设计
情感(语言学)
心理学
协议分析
产品(数学)
风格(视觉艺术)
产品设计
概念框架
计算机科学
人机交互
概念模型
实证研究
联想(心理学)
研究设计
设计教育
体验设计
认知心理学
认知机器人学
工程类
新产品开发
设计方法
设计要素和原则
经验证据
作者
Xiyuan Zhang,Hao Fan,Jiangping Zhou,Yang Yin,Huiting Liu,Yerulan Zhang,Xiaoyang Tu,Chunlei Chai,Federico Morosi,Gaetano Cascini
标识
DOI:10.1080/09544828.2026.2622887
摘要
Image-generation tools have been widely adopted in product conceptual design, showing promise in supporting cognitive activities and fostering creativity. However, existing studies have primarily focused on the aggregate-level impact, overlooking individual differences in designers’ cognitive styles, making it difficult for AI to understand and adapt to the needs of different groups. To fill this gap, we aim to explore whether and how image-generation tools affect designers’ cognitive styles and to analyze the relationship between cognitive style and design performance. Through a within-subject experiment, we invited 28 designers to complete conceptual design tasks under SK-condition (traditional sketching) and AI-condition (image-generation tools). We found that AI-condition significantly influenced designers’ cognitive styles, with approximately 50% of designers exhibiting cognitive style shifts. Although changes in cognitive style did not have a significant impact on design performance, there was a significant association between cognitive style and design performance under AI-condition. Designers identified as Treasure Hunters performed best in novelty, variety, and fluency, while those exhibiting Focused Prober style, traditionally associated with experts, performed worse under AI-condition. These empirical findings provide valuable insights for customising tools and educational approaches that align with the needs of different cognitive styles.
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