摘要
目的为了提高设计师对以往知识与用户评价的服务设计管理,通过人工智能与管理学科的技术辅助实现群智能服务设计系统。方法使用CBR(Case-Based Reasoning)与感性工学服务设计原理为前期研究框架,采用网络爬虫技术收集用户评语,使用人工智能知识图谱作为评价词汇数据库,实现对于服务设计知识的管理。通过TRIZ推理与原理整理作为设计创意输出依据主体。利用KANO研究方法确定用户需求并对输出设计功能进行实验验证。结果KANO实验结果较为理想,本研究方法具有一定的参考意义。结论知识图谱对于领域服务设计知识管理有可观的效果,通过一定可溯源推理方式让创意输出具有依据性,符合未来服务设计快速发展的需求。
In order to improve the designer's service design management of past knowledge and user evaluation,the swarm intelligence service design system is realized by the technology of artificial intelligence and management.In this paper,CBR(Case-Based Reasoning)and Kansei engineering service design principles are used as the preliminary research framework,web crawler technology is used to collect user comments,and artificial intelligence knowledge map is used as the evaluation vocabulary database to realize the management of service design knowledge.Through TRIZ reasoning and principle arrangement,it is the main basis for design creativity output.KANO research method is used to determine the user requirements and test the output design function.The results of Kano test is ideal,and this research method has a certain reference significance.Knowledge graph has a considerable effect on knowledge management of domain service design,and the creative output can be based on certain traceable reasoning,which meets the rapid development needs of future service design.
作者
LI LEO
刘键
谭颖玲
LI LEO;LIU Jian;TAN Ying-ling(Beijing University of Technology,Beijing 100024,China;China Development Bank,Beijing Branch,Beijing 100091,China)
出处
《包装工程》
CAS
北大核心
2022年第4期348-356,共9页
Packaging Engineering
基金
教育部2021年第2批产学合作协同育人项目“津发科技—工效学会‘人因与工效学’项目”(202102055017)
北京工业大学国际合作交流项目“智能化服务设计理论及其应用方法研究”(2021A18)。
