摘要
目的旨在对设计输入进行深入研究,以应对在使用Midjourney辅助设计工具时产生的带有随机性的设计产出,从而增强智能辅助设计的科学性与可信度。方法以家庭种植产品设计实践为例,通过感性工学(KE)和层次分析法(AHP)总结量化用户的感性需求和功能需求,为“设计输入”构建系统、科学的研究框架。最后对其可行性与成效性进行验证。结果通过KE和AHP方法的应用,成功降低了使用Midjourney生图的随机性,设计产出整体上也更加接近用户的需求,同时也暴露了智能设计工具在设计细节处理方面不恰当等问题。结论KE和AHP方法规范了Midjourney工具的设计输入,提高了设计产出的可控性和合理性,为Midjourney应用于设计产出提供了更为坚实的理论基础和科学依据。同时人工智能设计工具的出现也对设计领域与设计师的未来发展提出了新的要求与建议。
The work aims to conduct an in-depth study of design input to deal with the random design output gener-ated when using the Midjourney auxiliary design tool,thereby enhancing the scientificity and credibility of the first step of intelligent auxiliary design.With the design practice of home grown products as an example,users'perceptual needs and functional needs were summarized and quantified through Kansei Engineering(KE)and Analytical Hierarchy Process(AHP),and a systematic and scientific research framework was built for"design input".Finally,its feasibility and effec-tiveness were verified.Through the application of KE and AHP methods,the randomness of drawings generated using Midjourney were successfully reduced,and the overall design output was closer to the user needs.At the same time,it also exposed problems such as inappropriate handling of design details by intelligent design tools.The KE and AHP methods standardize the design input of Midjourney tools,improve the controllability and rationality of design output,and also provide a more solid theoretical foundation and scientific basis for the first step of applying Midjourney to design output.At the same time,the emergence of artificial intelligence design tools also puts forward new requirements and suggestions for the future development and positioning of designers.
作者
李振鹏
胡波
苏悦
LI Zhenpeng;HU Bo;SU Yue(China Jiliang University,Hangzhou 310018,China)
出处
《包装工程》
CAS
北大核心
2024年第18期75-83,92,共10页
Packaging Engineering
基金
浙江省哲学社会科学规划年度重点课题:标准创新城市社区养老服务精准供给研究(22NDJC020Z)。
