A Design Research Of Cultural And Educational Products For The Elderly Based On Their Lifestyle

Aiming at comprehensively accquiring characteristics of the elderly with various lifestyles and providing scientific guide for the research and development(R&D)of elderlyoriented products,this paper puts forward a method of optimizing the grouping of the elderly from user attribute to specific demand,so as to realize a multi-layered and fine classification from user group to the demand group and tap more potential demands of elderly users to provide new ideas and methods for the R&D of senior-friendly products.Starting with the current classification of ethnic groups among the elderly,this study analyzed the intersecting characteristics of groups with different lifestyles and proposed the concept of intersecting group to provide theoretical support for the exploration of more demand.This paper studied the grouping method of the elderly from the perspective of macroscopic positioning and microscopic behavior,as well as the advantages of intelligent classifier,which can provide a theoretical basis for a better grouping result.Going forward,in the light of hierarchical clustering theory,a grouping of elderly users based on hierarchical clustering and K-means method was established.In the process of grouping intersecting users,the data about their lifestyle can be captured in a multi-level and multiperspective way.Through the observation of microscopic behavior and the symmetric Clustering Matrix model,one can restructure the demand of typical users among each intersecting groups,identify the demand of users and build a more specific group with different demands under intersecting user group,thus instructing the design of cultural and educational products for the elderly.In order to give full play to the value of each group,the most representative group was selected,for whom the in-depth design of Guoxue learning machine(a device that can help the elderly study Chinese ancient civilization)was conducted.Combined analytic hierarchy process(AHP)and quality function development(QFD),a creative AHP-QFD demand model of the elderly groups was established,so as to obtain the weights between user demand and functional demand.In the end,with the apply of situation experiment method and morphological matrix,the optimization model of miscellaneous structure with multi-ethnic characteristics was constructed,the optimization direction was determined,and the design scheme of the old Chinese learning machine was obtained.According to the optimized grouping method from user attribute to different demand,six elderly groups with intersecting characteristics are identified.Then,the in-depth design of the Guoxue learning machine is carried out for every elderly people,This design can also provide reference for the research and development of cultural and educational products for the elderly,as well as the R&D of products with distinct ethnic characteristics ranging from their regional characteristics to ethnic characteristics and inheritance characteristics.