用户意图感知及其功能转换设计

User intent perception and function conversion design

为解决产品设计领域中用户意图存在主观性,随机性以及模糊性的问题,提出一种利用模糊理论与熵权法对用户意图特征项进行分析,并用Kano模型和聚类分析对用户意图特征项进行功能转换设计.以互联网产品案例作为研究对象,研究结果表明,采用模糊集表达与熵处理方法能够区分不同的用户群体对用户意图特征项权重问题,而卡片分类与集簇分析方法进一步对特征项进行优化与信息架构构建,用于指导产品设计.研究结论解决了产品设计中用户意图存在的不确定性问题,为产品设计提供新的思路.

In order to solve the problem of user intent which is difficult to encode and measure because of its subjective, arbitrary and fuzzy characteristics in the area of product design. This paper analyzed user intent about internet products and its functional design by Fuzzy Theory, Entropy Method, Cluster Analysis Methods and Kano Model. The results show that the expression of fuzzy sets and entropy approach was able to distinguish between different user groups about weights of the characteristics of user intent, and the methods of card sorting and clustering analysis optimize the characteristics and build information architecture to guide product design. The research conclusion indicates the uncertainty of user intent was solved which provides a new idea for product design.