Design of smart watch for old people based on the benchmark of consumers’ Kansei intention

Abstract

Current product design is dependent on designers’ experiences, knowledge and shaping ability excessively. But consumers’ demand changes owing to rapid growth of market economy. The focus of the product transforms from original basic demand to deeper level of Kansei. Consumers’ Kansei appeal should be reflected more and presented by shape, material, color or other shaping element of smart watch besides considering health, comfort and other elements because the relation of watch and human are relatively intimated. Old people are different from general consumer group physically and psychologically, which embodies in the degeneration of visual sense, auditory sense, reaction capacity, the force of hands and the memory ability of text and graphic. Old people are greatly different from other group in Kansei intention and user experience of using smart watch. Therefore whether appearance design or interaction design for watch should embody our care for the special group-old people to improve the product satisfaction degree and bring convenience for them. If the parameters relative to consumers’ Kansei intention can be found, they can assist designers in accurately positioning the shaping and functional design features of products to improve the efficiency of design. The author conducts design evaluation on survey samples combining with Kansei engineering taking “smart watch for old people” as an example in this study to verify the idea that the shaping design of product is dependent on Kansei intention. The main results and completed work in this paper includes: Survey on shaping, interview and questionnaire appraisal of smart watch targeting at old people consumer group are carried out firstly; relative data information and picture sample pool are collected; shaping of smart watch for old people is broken down using Morphological Analysis method and survey contents to determine shaping design elements which influence image of consumers; representative image words describing the shaping of smart watch for old people are determined with cluster analysis method; and then multivariate linear relation model between consumers’ Kansei intention and the shaping design of smart watch for old people is built. Quantification relation between Kansei image meaning evaluation value and shaping design elements are built and multivariate regression analysis is conducted with Quantification Theory Type Imethod on the basis of performing statistical analysis on image meaning evaluation experiment result of representative sample to obtain correlated category score, item range, constant, multiple correlation coefficient and determination coefficient. And on this basis mathematic relation model between all Kansei intention and design elements are built so that the aim of estimating consumers’ Kansei intention is reached. Finally sample is selected to verify it, Paired-sample T check analysis on the estimation value of correlation model and the mean value of subjective evaluation is conducted and the result shows that the estimation model has reliability.