Research on the design of smart pension product modeling based on brand image

Abstract

With the deepening of trend and degree on China’s aging, the demand of pension services is expanded further. Thus contents about pension services which come from the needs of more families and society are being introduced in the pension industry, and a multi-support system of the old is being formed. Meanwhile, the existing high-technology promotes the conversion of traditional elderly products and convenient smart products under the design idea of “human-oriented”. In the development process of smart pension product, apart from the basic functional requirements of the product, the emotional needs of the elderly are needed to parse through the image cognitive process which containing the psychological, experiential, emotional and other aspects, so as to meet the needs of the elderly for the use of functional and kansei image truly. The brand image of product modeling is the brand impression in the minds of users which exists in the concept of consumers’, and all the features and beliefs that are imposed upon a product style, being formed in the process of users’ cognitive experience after interacting with the product. So it is necessary to grasp the brand image of product form accurately by reading and extracting through the cognitive process for effectively assisting the designers to upgrade the brand value of product modeling quickly. As the information of product modeling is diverse, complex and fuzzy, the image information will appear a dissipation phenomenon during the delivery process. For the sake of the validity to pick up the image information, the theory and method of Kansei Engineering and Information Entropy are used to analyze the brand image of smart pension product modeling in this paper, and also taking the smart bracelet styling as an example to obtain the design factors who can affect the brand image identification of it. Firstly, two methods named KJ method and interview method are used to ensure the research samples and the adjective vocabularies which can describe the image of smart pension product modeling. Secondly, the SD method is needed to grab the consumer’s kansei image needs, and an image cognitive space is constructed to count the weight of each target image for analyzing the brand image of smart product modeling. Then, the research samples are deconstructed by using the morphological analysis. Finally, the coupling and the attribute of game between product and design elements as well as design elements and design elements are parsed by the information entropy for gaining the design factors that can affect the brand image identification. Those design factors are also called product design elements which can provide guideline and development ideas for the design of smart pension product.