中国机械工程

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一种面向汽车个性化定制的智能交互方法

华尔天1,2;孙琦宗2;刘肖健3;钟嘉佶2;陈川2   

  1. 1. 浙江省高端激光制造装备协同创新中心,杭州,310014
    2. 浙江工业大学特种装备制造与先进加工技术教育部重点实验室,杭州,310014
    3.浙江工业大学工业设计研究所,杭州,310023
  • 出版日期:2017-10-10 发布日期:2017-10-10
  • 基金资助:
    国家自然科学基金资助项目(71373242)
    National Natural Science Foundation of China (No. 71373242)

A Kind of Intelligent Interactive Method for Automotive Customization

HUA Ertian1,2;SUN Qizong2;LIU Xiaojian3;ZHONG Jiaji2;CHEN Chuan2   

  1. 1.Zhejiang Provincial Collaborative Innovation Center of High-end Laser Manufacturing Equipment, Hangzhou,310014
    2.Key Laboratory of Special Purpose Equipment and Advanced Manufacturing Technology,Ministry of Education, Zhejiang University of Technology, Hangzhou,310014
    3.Institute of Contemporary Industrial Design, Zhejiang University of Technology, Hangzhou,310023
  • Online:2017-10-10 Published:2017-10-10
  • Supported by:
    National Natural Science Foundation of China (No. 71373242)

摘要: 针对传统汽车在线个性化定制服务中缺乏有效的交互,且消费者隐性需求的获取和转化研究不足等问题,研究了隐性需求的获取和转化以及产品定制特征的分析和表述,建立了产品特征与用户需求的映射模型,提出了一种基于组织符号学思想的智能交互方法,并采用黄金分割法对所提方法进行了迭代优化。最后利用汽车颜色的定制对此方法进行了测试。测试结果表明,该方法能在一定程度上提高个性化定制服务的互动性和引导性。

关键词: 智能交互, 个性化定制, 交互问答法, 隐性需求, 组织符号学

Abstract: Aiming at the problems that the absence of taking the considerations of the effective interactivity and that of the research on the acquisition and transformation for consumers' implicit demands in traditional automotive customization services, acquisitions and transformation for implicit demands were conducted, statements and analyses for customization characteristics were researched; and the mapping model between product characteristics and customer requirements was established, a method of intelligent interaction was proposed, which was based on organizational semiotics,then this method was optimized by golden section method. In final, the proposed method was tested by using the example of the customization in automotive colors. The results indicate that the method may improve interaction and the guidance of customization service in some ways.

Key words: intelligent interaction, personalized customization, method of interactive question answering, implicit demand, organizational semiotics

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