文章摘要
王伶羽,左亚雪,胡洁.基于感性工学与知识工程的用户需求认知研究[J].包装工程,2021,42(2):28-34.
基于感性工学与知识工程的用户需求认知研究
User Needs Cognition Based on Kansei Engineering and Knowledge Based Engineering
投稿时间:2020-09-16  
DOI:10.19554/j.cnki.1001-3563.2021.02.005
中文关键词: 感性工学  知识工程  用户需求  产品设计  认知模型
英文关键词: Kansei Engineering  Knowledge Based Engineering  user needs  product design  cognitive model
基金项目:国家社科基金重大项目(17ZDA020);谢友柏设计科学研究基金(XYB-DS-202001)
作者单位
王伶羽 武汉设计工程学院武汉 430000 
左亚雪 山东大学济南 250000 
胡洁 上海交通大学上海 200240 
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中文摘要:
      目的 提出基于感性工学与知识工程的用户需求认知模型以促进产品设计领域更好地满足用户需求。方法 首先从基本理论、流程、相关技术等角度出发介绍感性工学与知识工程;然后依据其在产品设计领域具有相似性及互补性,将两者结合并提出基于感性工学与知识工程的用户需求认知模型;最后通过自行车设计案例进行模型应用的简单介绍。结果 在基于感性工学与知识工程的用户需求认知模型中,知识工程模块能确保设计方案在物理层面满足用户功能需求,感性工学模块则能确保设计方案在心理层面满足用户感性需求,因此该模型生成的设计方案能够在物理层面和心理层面同时满足用户需求。结论 在产品设计领域,感性工学与知识工程的结合能更高效、更合理地满足用户需求。
英文摘要:
      The work aims to propose a cognitive model of user needs based on Kansei Engineering and Knowledge Based Engineering to promote the product design field to meet user needs better. Kansei Engineering and Knowledge Based Engineering were introduced from the perspectives of basic theory, process and related technologies. Then, on the basis of similarity and complementarity in the field of product design, Kansei Engineering and Knowledge Based Engineering were combined and a cognitive model of user needs based on Kansei Engineering and Knowledge Based Engineering was put forward. Finally, a brief introduction of the model application was given through a bicycle design case. In the cognitive model of user needs based on Kansei Engineering and Knowledge Based Engineering, the Knowledge Based Engineering module ensured that the design met user needs at the physical level, while the Kansei Engineering module ensured that the design met user needs at the psychological level, so the design generated by this model could meet user needs at both physical and psychological levels. In the field of product design, the combination of Kansei Engineering and Knowledge Based Engineering can meet the user needs more efficiently and reasonably.
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