文章摘要
沙春发,杨嫣,卢章平,Edwin Kofi Donkor.消费者属性对产品造型相似度认知的影响[J].包装工程,2020,41(20):79-84.
消费者属性对产品造型相似度认知的影响
Effect of Consumer Attributes on Cognition of Product Shape Similarity
投稿时间:2020-06-29  修订日期:2020-10-20
DOI:10.19554/j.cnki.1001-3563.2020.20.013
中文关键词: 产品造型空间  认知一致性  感性工学  消费者属性  轮廓分析
英文关键词: product shape space  cognition consistency  Kansei Engineering  consumer attributes  contour analysis
基金项目:江苏高校哲学社会科学研究基金项目(2017SJB1078);四川省高校人文社会科学重点研究基地工业设计产业研究中心科研项目(GYSJ17-017)
作者单位
沙春发 江苏大学镇江 212013 
杨嫣 江苏大学镇江 212013 
卢章平 江苏大学镇江 212013 
Edwin Kofi Donkor 江苏大学镇江 212013 
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中文摘要:
      目的 研究消费者属性对产品造型相似度认知的影响,为优化产品造型空间,提高人们对其认知的一致性提供依据。方法 首先,采用传统的方法,筛选出四十三个家用加湿器样本,构建产品造型空间,邀请七十三位被试,根据造型相似度将其进行多层分类,获取样本间造型相似度数据及被试属性数据;其次,基于轮廓分析法,依次分析不同属性下各组被试对各样本造型相似度认知的一致性;最后,根据异常样本的分布情况,分析各属性对产品造型相似度认知的影响程度。结论 生活形态属性对被试产品造型相似度认知的影响显著,异常率达20%以上,并且强于人口综合特征的影响;学历、性别、专业背景则基本无影响。应引入生活形态因素,检验人们对产品样本造型认知的一致性,进一步优化产品造型空间。
英文摘要:
      The work aims to study the effect of consumer attributes on the cognition of product shape similarity, so as to provide basis for optimizing the product shape space and improving the people’s cognition consistency. Firstly, 43 household air purifiers were screened out by traditional method to build a product shape space. Then, 73 subjects were invited for multi-level classification according to the shape similarity among products to obtain the similarly data and subject attribute data of samples. Secondly, based on contour analysis, the cognition consistency was analyzed among subject groups with different attributes respectively. Finally, the effect of attributes on product shape similarity cognition was analyzed through the distribution of abnormal product samples. Lifestyle attributes have a significant impact on the cognition of product shape similarity, with an abnormal rate of more than 20%, which is stronger than the influence of population comprehensive characteristics. Education, gender and professional background have little effect. Lifestyle factors are introduced to test the consistency of people’s cognition of product sample shape, and further optimize the product shape space.
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