# Interaction Design Based on Big Data Community Home Care Service Demand Levels
###### Abstract  
Most of the contemporary models for meeting the majority of the needs of middle-aged and elderly people are community-based, in-home care. Therefore, this paper designs an Interaction model that can meet the need for a rich spiritual and cultural life of the elderly at home. First, the questionnaire content of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) sampling method was designed based on the content of community-based home care services. Then, using the CLHLS sampling method, the survey results of the home care group were collected to form a community of big data consisting of four types of home care service needs. Finally, the Interaction book model was designed based on the hierarchy of service needs obtained from [PERSON]'s hierarchy of needs classification method. The experimental results showed that the mean values of the target population's ratings for the presentation and interface aesthetics of the Interaction mode were 4.34 and 4.19, respectively, the mean value for improving the learning effectiveness of the home-bound population was 4.57, and the mean value for their overall satisfaction was 4.31. It proves that the Interaction model is ideal for practice and can meet the learning needs of the elderly, at-home population from different service demand levels, thus solving the problem of education for the elderly. community big data; service demand level; CLHLS sampling method; multi-indicator model +
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services but also improved the theoretical study of elderly care services [10]. By innovating the supply of community home care services in order to improve the relevance of service supply and service quality, the needs for elderly care are better met [11; 12]. Current research on community-based senior care services has been conducted from many aspects, such as origin, connotation, and advantages. The literature [13] provided a framework for research embedded in a neoliberal context. The family aging model was tested through interviews with 100 older adults in five communities in Wuhan. The literature [14] introduced a conceptual model to explore the relationship between the determinants of demand for elderly services and social organization. Questionnaire-based structural equation modeling was used as a test method for synergistic developmental relationships. The results suggest that the study can provide a guiding direction for improving home care services. The literature [15] used logistic regression models to analyze data to test whether socio-demographic characteristics, physical health, loneliness scores, and other factors were associated with home care intentions among rural and urban older adults. Research has shown that there are differences in the willingness of older adults to take care of themselves at home where they live, and that targeted policies should be developed for different groups of older adults in order to solve the problem of excessive waste of social resources caused by the emerging and lagging management of the elderly service industry. The literature [16] proposed the introduction of the Slack Based Model-Data Envelopment Analysis (SBM-DEA) model to assess the performance of community-based home care service centers. We also built a systematic framework for the performance evaluation of several social organizations in Wuhan. The literature [17] identified five external coping strategies by examining the sustainability of geriatric care in Slovenia: use of formal care services, use of extended family networks, use of wider community networks, cohabitation, and family adjustment. A synthesis of national and international scholars found that the established literature is not better adapted to the modern socialist environment. The education needs of the elderly living at home are increasing, and it is urgent to improve the quality of education services for this group. The special nature of the home care group determines the special nature of the educational services.