创造力
模式
计算机科学
生成语法
人机交互
构思
创意技巧
人工智能
心理学
认知科学
社会学
社会心理学
社会科学
作者
Kejun Zhang,Shixuan Cai,Wenjing Yang,Wenqi Wu,Hanshu Shen
标识
DOI:10.1145/3643834.3661501
摘要
The continuous advancements in Generative Artificial Intelligence (GenAI) enable designers to efficiently obtain vast amounts of inspirational materials during the design conception phase. Various modalities of stimuli can impact designers' creativity. However, the relationship between the sequence of different modalities (Text, Images, and Virtual Models) and creativity remains to be explored. In this study, we investigate the effects of 6 sequential combinations of 3 modalities on designers' creativity. Designers (N=36) used the creative stimulation platform InspireMe, accessing inspirational stimuli in various sequences to execute their design tasks. We analyzed the impact on creativity through assessments of work innovation and user interviews. The findings indicate that the sequence of material combinations significantly influences designers' creativity, with varying impacts on the different sub-attributes of creativity. Drawing on experimental findings and qualitative research, this paper introduces a creativity demand-matching inspirational stimulation interaction strategy—the CDI strategy—that assists designers in developing more targeted design solutions. Furthermore, we propose the 3C Framework, a design strategy for creativity stimulation platforms aimed at designers in the intelligent era. This framework aims to guide the development of creative stimulation platforms for designers in the intelligent era.
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