Evaluating the Quality of Life of Empty Nesters by Means of Big Data and the Internet of Things
Abstract
This study uses the Internet of Things (IoT) and big data technology to construct a comprehensive assessment of the quality of life of empty nesters. By means of a questionnaire survey and data collected via IoT devices, the physical health, mental health, social support and financial status of empty nesters were analyzed in detail. The results showed that the quality of life of the elderly with higher levels of depression and anxiety was significantly reduced, while the quality of life of the elderly with higher levels of family support, social activities and economic income was significantly better. In regard to physical health, heart rate, blood pressure, activity level and sleep quality have significant effects on quality of life, with activity level and sleep quality being particularly important. This study innovatively applies IoT and big data technologies for quality-of-life assessment, providing a
multi-dimensional scientific basis for the development of targeted interventions. Despite the significance of the findings, the limitations of the sample size and data still need to be addressed by further research. In the future, the sample scope should be expanded, and quantitative and qualitative methods should be combined to conduct an in-depth exploration of the factors influencing empty nesters’ quality of life, and devise intervention strategies to improve their quality of life significantly.
Keywords: empty nesters; Internet of Things; big data; quality-of-life assessment
Cite As
W. Zhang, " Evaluating the Quality of Life of Empty Nesters by Means of Big Data and the Internet of Things",
Engineering Intelligent Systems, vol. 33 no. 1, pp. 57-67, 2025.