Cognitive Matching of Design Subjects in Product Form Evolutionary Design.

Shutao Zhang,Aimin Zhou,Shifeng Liu,Shijie Wang,Jianning Su,Daniele Bibbo

doi:10.1155/2021/8456736

Abstract

In actual product development, the cognitive differences between users and designers make it difficult for the designed products to be recognized by users. To reduce the cognitive differences between these two design subjects, this paper proposes a method of cognitive matching of the design subjects. First, we use the relevant methods of Kansei engineering to quantify the Kansei image cognition of the two design subjects and construct a cognitive matching model of the design subjects with information entropy and the technique for order preference by similarity to ideal solution (TOPSIS). Second, according to the Kansei image, the Kansei image prototype cluster is constructed, and the representative Kansei image prototype is obtained. Then, we combine an artificial neural network (ANN) with a cognitive matching model of the design subjects to construct a product Kansei image evaluation system; this is used to evaluate the evolved forms. Finally, a product Kansei image form evolution system is constructed based on the genetic algorithm (GA). To some extent, the system simulates the cognitive matching process between designers and users in product design, helps designers to more accurately understand the cognitive trends of the two design subjects, and provides a theoretical basis for the intelligent design of product forms through the cognitive balance of multiple design subjects. This paper takes a beverage bottle as an example to verify the feasibility of the model through a comparative study.

Highlights

Design is a creative process of expressing human needs in concrete product forms, and its main purpose is to endow things with new value [1]
Different product forms have an impact on the cognition of design subjects. erefore, in subsequent studies, we will focus on the above issues in depth to improve the accuracy of the cognitive matching model
The Kansei image cognition of users and designers is a factor that cannot be ignored. Due to their different, complex backgrounds in terms of factors such as education and society, there are differences between users’ and designers’ cognitions; the designed products reflect the designer’s cognition to a greater extent, resulting in low recognition of products by users. e cognitive matching model of design subjects proposed in this paper simulates the process of the cognitive matching of the two design subjects in a quantitative way

Summary

Introduction

Design is a creative process of expressing human needs in concrete product forms, and its main purpose is to endow things with new value [1]. Designers and users are the core subjects of design Designers infuse their own cognition into the product form through communication with users to meet the emotional needs of users [2]. There are very large differences between designers and users in terms of knowledge, educational background, personality characteristics, and understanding of the product. Erefore, by extracting Kansei variables related to product design elements, we can transform users’ emotional characteristics into product attributes and accurately grasp and understand the Kansei image cognition trends between users and designers, which can help designers construct product forms that meet users’ needs [3]. Based on double coding in psychology, Hu et al decomposed the cognition of automobile modelling Kansei images to compare the differences between users and designers in semantic word selection and corresponding morphological features [5]

Methods

Results

Conclusion