以人为中心的智能产品设计现状和发展趋势  

Current Situation and Development Trend of Intelligent Product Design under the Background of Human-centered AI

作　　者：孙凌云[1,2] 张于扬 周志斌 周子洪 SUN Ling-yun;ZHANG Yu-yang;ZHOU Zhi-bin;ZHOU Zi-hong(Zhejiang Key Laboratory of Design and Intelligence and Digital Creativity,College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China;Alibaba-Zhejiang University Joint Institute of Frontier Technologies,Zhejiang University,Hangzhou 310027,China)

机构地区：[1]浙江省设计智能与数字创意研究重点实验室,浙江大学,杭州310027 [2]阿里巴巴-浙江大学前沿技术联合研究中心,浙江大学,杭州310027

出　　处：《包装工程》2020年第2期1-6,共6页Packaging Engineering

基　　金：科技创新2030-“新一代人工智能”重大项目(2018AAA0100703);教育部指导高校科技创新规划项目;国家自然科学基金(61672451);中国博士后科学基金(2018M630658);浙江省科技计划项目(2019C03137)

摘　　要：目的以人为本的人工智能作为一种独特的设计材料正成为智能产品设计的新关注点,也带来了全新的挑战。分析人本人工智能背景下的智能产品设计特点,总结人本智能产品设计的现状并预测其发展趋势,能够对智能产品设计的未来发展提供参考。方法分析机器思维与设计思维的差异,以阐述人本人工智能背景下智能产品设计的特点。从设计方法和设计工具两个层面总结目前的研究现状,梳理以人为中心的智能产品设计的发展脉络。结论智能产品设计正逐渐从技术驱动转向以人为本,逐步整合机器思维与设计思维。然而,目前针对人工智能技术的设计方法和设计工具仍相对较少,智能产品的设计实践迫切需要符合人工智能技术特性的设计教育、设计方法与工具,以弥合机器思维与设计思维的差异。As a design material with unique attributes, human-centered artificial intelligence has become a new focus of intelligent product design and brings about new challenges. This paper aims to analyze the characteristics of intelligent product design under the background of Human-centered AI(HAI), summarize the current situation of intelligent product design, and predict its development trend. It is hoped to provide reference for the future development of intelligent product design. By comparing and analyzing the difference between machine learning and design thinking, this paper explained the attributes of intelligent product design under the background of HAI. This paper summarized the current research status and existing problems from two aspects of design methods and design tools, showing the development of human-centered intelligent product design. The design of intelligent product is gradually shifting from technology-driven to human-centered, as well as from the perspective of machine learning to design thinking. However, there is still a lack of design methods and tools tailored to artificial intelligence. The design practice of intelligent product requires new methods and tools that conform to the characteristics of artificial intelligence, so as to bridge the gap between machine learning and design thinking.

关 键 词：智能产品设计 人本人工智能 机器思维 设计思维 

分 类 号：TB472[一般工业技术—工业设计]