Product Design Decision Oriented by Hierarchical Relevance of User’s First Perceptual Demand

Yi Wang,Siyin Lin

doi:10.1088/1757-899x/573/1/012043

Yi Wang, Siyin Lin

Open Access

https://doi.org/10.1088/1757-899x/573/1/012043

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Abstract

The characteristics of “multi-dimensions, multi-hierarchy and correlation” of users towards the same product are shown in their perceptual demands. However, one or two perceptual expressions cannot precisely describe users’ comprehensive perceptual demands for products. A semantic-associated multiple perceptual demand model is proposed in this paper, focusing on the multiple perceptual demand model oriented by users characteristics. Through feature analysis of users and perception evaluation test to product, different perceptual demands for products corresponding to the typical characteristics of different users are established. Then the n-dimensional perceptual demand information of users to product plan and the corresponding position in the semantic space with typical features of user groups can be comprehensively described. By taking the design of electric scooters as the example, the “Product Design Decision Oriented by Hierarchical Relevance of User’s First Perceptual Demand” is verified and a hierarchical classification method for first perceptual demand is proposed.

Highlights

The growing update frequency of consuming goods, to some extent, has encouraged the individualized perceptual demands of consumers for products[1]
Diagnosis was carried out to Pi=(1,2,3,4,5,6,7,8,9,10) by the correlation measure Equation (1)and the correlation weight( Yi, ωωi )between sentimental demand and user characteristics the results shown in Table 4 in detail
In terms of the users’ intricate perceptual demands when they are facing products, the study adopted intuitionistic fuzzy multi-attribute decision-making approach to rank the perceptual demand of users and find “ MRj ”, the emotional semantic axis

Summary

Introduction

The growing update frequency of consuming goods, to some extent, has encouraged the individualized perceptual demands of consumers for products[1]. Further studies should be carried out to explore the hierarchy of multi-dimensional perceptual demands[5], and users’diversified but correlated demands make design even harder. A dynamic intuitionistic fuzzy multi-attribute decision-making method[6] is proposed in this study to rank users’ diversified perceptual demands, establishing the hierarchy of their demands. The correlation measure of intuitionistic fuzzy sets is used to analyze the semantic correlation of users’ multi-dimensional perceptual demands. Classifying the result of sematic correlation in accordance with typical users’ characteristics, we will work out a direct description of users’ comprehensive and dynamic perception to design plans, ensuring the scientificity and reliability of the evaluation to product design based on users’ perceptual demands

Objectives

Methods

Conclusion