A personalized requirement identifying model for design improvement based on user profiling

Abstract

The personalization of products and services has become an inevitable trend in the manufacturing and service industry, but it is very difficult to identify users' personalized requirements accurately. This paper solves this problem by constructing an identifying model for personalized requirement based on user profiling. Firstly, the framework of the proposed model and the process of identifying the user's personalized requirements with this model are introduced, and then an experimental scheme for obtaining users' profiling data is designed. On this basis, an experiment is performed by investigating users' requirements for the computer to obtain the data, and the data are used for the analysis based on the proposed model. The analysis result shows that the model can reveal the difference among heterogeneous users well, find out the implicit requirements of users, and identify the gap between existing products and users' personalized requirements, which provides support to the subsequent improvement of product design.

Product redesign considering the sensitivity of customer satisfaction

“…Customer satisfaction depends on fulfilment level of customer requirements (CRs) (He et al , 2017; Li et al , 2020) that closely relates to the fulfilment level of design parameters (DPs) (Felfernig and Schubert, 2011; Jiang et al , 2019; He et al , 2021). With the analysis of correlations between CRs and DPs by quality function deployment (QFD), the relative importance of each DP to CRs is calculated (Wang et al , 2019 a ).…”