# Interaction Design Based on Big Data Community Home Care Service Demand Levels
## 4 Analysis of Hierarchical Validity of Needs and Practicality of Interaction Model  
### Discussion of the Effectiveness of the Hierarchy of Needs for Elderly Services  
The demand for elderly care services of the target group was analyzed using the CLHLS sampling method, and the results are shown in Figure 4. The results of the analysis of the demand for elderly care services under general conditions in this figure show that the significance value of the residence situation of the elderly at home population is 0.07. Therefore, the results of the obtained demand analysis are statistically significant. The percentage of the elderly people living with a spouse and living with children are 54.8% and 29.7%, respectively. Both of these two types of home care groups showed a relatively positive attitude toward the demand for senior care services. The correlation between their physical condition and their degree of desire for senior care service needs was significant, as evidenced by the fact that the significance value of physical condition of the target group did not exceed 0.02. The significance value of 0.001 less than 0.002 for the degree of knowledge of elderly care services indicates that although 43.6% of the people do not know anything about aging in place, their desire for services gradually increases as the degree of knowledge of elderly care services among the elderly in place population gradually increases. The significance values of economic source and education level of the elderly at home group are 0.701 and 0.457, respectively, both of which are greater than 0.07. This fully indicates that the economic source and education level of the group do not affect their desire for elderly care services.  
The data in Figure 5 shows that the significance values of bathing and using public vehicles for the target group do not exceed 0.07, and the significance values of shopping and medication dependence are 0.039 and 0.021 respectively, which are also under the significance level of the value of 0.07. Therefore, the results of the analysis of the correlation between the ability of daily living and the demand for elderly services are statistically significant and show a significant positive correlation. This set of data can fully illustrate that the greater the dependence of the population in bathing, using public vehicles, shopping, and taking medication, the higher their desire for senior care service needs. The results of this study also describe common characteristics of the aging-in-place population, such as  
Figure 4: Analysis of the demand for elderly services under general conditions.  
age-related slowing of physical functions. For this population, most behavioral activities are becoming a barrier to living and pose a significant safety risk. The outdoor activities are even more overwhelming for some elderly people.  
In summary, the analysis of the factors influencing the demand for community elderly care services through the multi-indicator, multi-factor model makes the classified levels of demand for elderly care services at home independent of most factors, with good immunity and validity, and can be used as a reliable theoretical basis for Interaction design.