基于感性意象认知的香水瓶造型优化设计和应用

Optimal Design and Application of Perfume Bottle Modeling Based on Perceptual Image Cognition

摘要: 为提高用户产品情感体验，满足香水瓶造型的情感化设计需求，在感性工学相关理论和技术背景下，建立香水瓶造型–感性意象认知模型，以辅助设计师进行造型优化设计决策。首先，大量收集香水瓶样本和表达香水瓶的感性意象形容词，通过聚类分析和多元尺度分析法筛选出代表性样本和感性意象形容词，根据香水瓶造型特点运用形态分析法进行造型设计要素分析，进行造型意象认知实验，建立香水瓶造型意象认知空间；其次，利用数量化一类理论的多元线性回归分析建立香水瓶造型设计要素与意象认知的映射模型，并进行模型有效性验证；最后，基于映射模型进行香水瓶造型优化设计和应用。研究表明，运用感性工学技术可以将感性意象认知因素量化，建立的造型–意象认知映射模型可以参数化表达意象认知与产品造型之间的关系，能够为设计师进行香水瓶设计提供有效参考。

Abstract: In order to improve the emotional experience of products and meet the emotional design requirements of perfume bottle modeling, a perfume bottle modeling-perceptual image cognitive model was established under the background of Kansei Engineering theory and technology to assist designers in modeling optimization design decision. Firstly, a large number of samples of perfume bottles and perceptual image adjectives expressing perfume bottles are collected, and representative samples and perceptual image adjectives are screened out by cluster analysis and multivariate scale analysis. According to the characteristics of perfume bottles, morphological analysis is used to analyze the elements of modeling design, and modeling image cognitive experiments are carried out to establish the cognitive space of perfume bottles; secondly, the mapping model of perfume bottle design elements and image cognition is established by using multiple linear regression analysis of quantitative theory, and the validity of the model is verified; finally, based on the mapping model, the perfume bottle modeling optimization design and application are carried out. The research shows that using Kansei Engineering technology can quantify perceptual image cognitive factors, and the modeling-image cognitive mapping model can parameterize the relationship between image cognition and product modeling, which can provide effective reference for designers to design perfume bottles.