摘要
目的在消费者意识形态升级和消费市场全球化竞争发展的趋势下,应用感性工学理论探索陶瓷酒瓶的创新设计,从而迎合消费者的感性需求,提升陶瓷酒瓶的附加价值。方法首先,利用眼动仪对陶瓷酒瓶造型特征进行分析,提取其造型关键点并计算其权重;其次,广泛收集陶瓷酒瓶样本图片,以模糊综合评价方法和多维尺度分析方法进行代表性陶瓷酒瓶样本图片的提取;再次,收集并萃取相关感性意象词汇,对每个代表性陶瓷酒瓶进行感性意象评分;最后,通过量化一类理论进行造型类目与感性意象之间数学模型的构建,得出两者造型类目与感性意象关联库,并以实例分析检验数据结论的可靠性。结果通过分析特定人群的感性需求,总结出“优雅的”“尊贵的”2个意象,并基于关联库生成了具有良好评价效果的陶瓷酒瓶设计方案。结论感性工学能够被很好地应用于陶瓷酒瓶的造型设计研究,为陶瓷酒瓶造型设计提供切实可行的辅助作用和理论依据。
Under the trend of consumer ideology upgrading and the development of global trade,the innovative design of ceramic liquor bottles is explored using kansei engineering to cater to the perceptual needs of consumers and enhance the inner value.First of all,the key points of ceramic liquor bottle are analyzed and extracted and its weight is calculated by eye tracker technology.Then,sample pictures are extensively collected and fuzzy comprehensive evaluation methods and multidimensional scale analysis methods are adopted to extract representative sample pictures of ceramic liquor bottles.At the same time,relevant perceptual image vocabulary is collected and extracted,and the perceptual image for each representative ceramic wine bottle is scored.Finally,the mathematical model between the modeling category and the perceptual image is constructed by Quantifying theory I,the correlation library between the two modeling categories and the perceptual image is built,and the reliability of the data conclusion is verified by an example analysis.By analyzing the perceptual needs of specific groups of people,two perceptual images of“elegance”and“nobility”are summarized,and a ceramic bottle design work with good evaluation effects is generated based on the correlation library.Kansei engineering can be well applied and provide a theoretical basis for the design and evaluation of ceramic liquor bottles.
作者
刘永红
刘磊
LIU Yong-hong;LIU Lei(Hunan University,Changsha 410082,China)
出处
《包装工程》
CAS
北大核心
2021年第20期330-340,共11页
Packaging Engineering
基金
湖南省创新平台与人才计划项目(2016RS2008)
基于数字化创新设计的陶瓷3D打印关键技术开发与应用(706096491033)。
关键词
陶瓷酒瓶
感性工学
造型设计
数量化理论Ⅰ类
ceramic wine bottle
kansei engineering
modeling design
quantitative theory I
