社区智能养老用户采用意愿及满意度的研究
Research on the Willingness and Satisfaction of Community Intelligent Elderly Care Users

人口老龄化时代养老服务供需矛盾日渐凸显，加之信息化时代人工智能技术的飞速发展，传统的养老服务模式发生重大改变，智能智慧化养老模式逐渐发展为以后的新方向。如何使新型的智能养老模式得到规范化发展，研究其长效的发展机制成为如今的当务之急。对智能养老服务的供给现状、需求等进行描述性统计分析，得到当前智能养老服务仍然处于初级探索阶段，供需矛盾问题比较突出，社区群体对智能养老服务需求程度较高，但用户采用意愿和使用的满意度并不高。本文基于上海市各区社区智能健康养老服务的供需情况和满意度的调查问卷数据，从个体特征、家庭情况、经济状况、受教育水平、居住情况等指标中选择变量进行二元Logistic回归分析社区用户对智能健康养老服务采用意愿的影响因素，发现智能养老服务用户采用意愿受年龄、文化水平、居住状况和费用成本的影响最为显著。最后基于结论提出推动智能养老服务高质量发展的建议。
In the age of aging population, the contradiction between supply and demand of pension service is becoming increasingly prominent. In addition, with the rapid development of artificial intelligence technology in the information age, the traditional pension service model has undergone major changes, and the intelligent pension model has gradually developed into a new direction in the fu-ture. How to standardize the development of the new intelligent pension mode and study its long-term development mechanism has become a top priority. The descriptive statistical analysis of the supply status and demand of intelligent elderly care service shows that the current intelligent elderly care service is still in the preliminary exploration stage, and the contradiction between sup-ply and demand is prominent. The community groups have a high demand for intelligent elderly care service, but the users’ willingness to adopt it and their satisfaction with it are not high. This ar-ticle is based on the Shanghai district community health intelligent endowment service supply and demand situation and the satisfaction of the questionnaire data. On this basis, variables were se-lected from the individual characteristics, family status, economic status, education level, living sit-uation index and other indicators for binary Logistic regression analysis. Analyzing of intelligent health care of community of users by the will of the influencing factors, it is found that age, educa-tion level, living condition and cost have the most significant influence on the adoption willingness of smart elderly service users. Finally, based on the conclusion, suggestions are put forward to pro-mote the high-quality development of intelligent elderly care service.