Research on the Happiness of Artificial Intelligence Assisted Home-based Elderly Care in the Digital Transformation Era

Research on the Happiness of Artificial Intelligence Assisted Home-based Elderly Care in the Digital Transformation Era

Abstract: With the intensification of population aging and the continuous advancement of technology, home-based elderly care has become an important model to cope with an aging society. This paper focuses on the application of artificial intelligence technology in home-based elderly care, aiming to explore its impact on the quality of life of the elderly and strategies for improvement. Through a combination of literature review and empirical analysis, this paper first sorts out the current development status of artificial intelligence technology and its application in home-based elderly care. Subsequently, this paper constructs a home-based elderly care service system based on artificial intelligence technology and proposes a path for digital transformation implementation. This paper further analyzes how artificial intelligence technology can promote the convenience, safety, and social interaction of home-based elderly care life, thereby enhancing the life satisfaction and happiness of the elderly. Finally, this paper summarizes the research results and proposes prospects for future research directions. This paper not only provides theoretical support for the digital transformation of home-based elderly care but also provides references for related policy formulation and practical operations.

Keywords: Artificial Intelligence; Home-based Elderly Care; Digital Transformation; Happiness in Life; Elderly Welfare

Chapter One Introduction

1.1 Research Background and Significance

With the acceleration of global population aging, traditional elderly care models have difficulty meeting the growing demand for elderly care. As an emerging elderly care method, home-based elderly care has received widespread attention for its advantages such as respecting the living habits of the elderly and maintaining family harmony. However, home-based elderly care also faces problems such as insufficient service resources and uneven nursing quality. The development of artificial intelligence technology provides new possibilities for solving these problems. Its application in home-based elderly care can not only improve service efficiency but also enhance the autonomy and happiness of the elderly. Therefore, studying the application of artificial intelligence in home-based elderly care is of great significance for promoting the digital transformation of the elderly care service system and improving the quality of life of the elderly.

1.2 Research Status at Home and Abroad

Internationally, the application of artificial intelligence in the field of medical health has made significant progress, especially in the aspects of health management and daily life assistance for the elderly. Domestic scholars have also begun to pay attention to the application of artificial intelligence technology in home-based elderly care, but most studies focus on the development and application level of technology, and there are relatively few studies on how artificial intelligence affects the happiness of the elderly. In addition, existing studies mostly focus on the application effects of single technologies or services, lacking systematic research on the construction and optimization of the entire service system.

1.3 Research Content and Methods

The purpose of this study is to explore the current application status, existing problems, and improvement strategies of artificial intelligence technology in home-based elderly care, with a focus on analyzing how artificial intelligence can enhance the happiness of the elderly through digital transformation. The study adopts literature analysis, case analysis, and empirical research methods. By collecting and analyzing relevant literature at home and abroad, combined with specific cases, the study evaluates the actual application effects of artificial intelligence technology in home-based elderly care and proposes corresponding optimization suggestions.

1.4 Innovation Points and Paper Structure

The innovation of this study lies in: systematically analyzing the current status and trends of the application of artificial intelligence technology in home-based elderly care for the first time; deeply exploring how artificial intelligence technology can enhance the happiness of the elderly through digital transformation; proposing a complete set of artificial intelligence home-based elderly care service system construction scheme. The paper is divided into six main parts, including introduction, overview of artificial intelligence home-based elderly care, construction of artificial intelligence home-based elderly care service system, impact of digital transformation on the happiness of home-based elderly care life, empirical analysis, and conclusions and prospects.

Chapter Two Overview of Artificial Intelligence Home-based Elderly Care

2.1 Development Overview of Artificial Intelligence Technology

Artificial intelligence (AI), as a branch of computer science, aims to create machines that can perform complex tasks that usually require human intelligence. Since the 1950s, AI technology has evolved from rule-driven expert systems to modern machine learning and deep learning. Currently, AI technology is widely used in fields such as image recognition, natural language processing, predictive analysis, and decision support. Its level of intelligence is continuously improving, bringing revolutionary changes to all walks of life.

2.2 Concept and Characteristics of Home-based Elderly Care

Home-based elderly care refers to a model in which the elderly receive elderly care services in their own homes. This model emphasizes the centrality of the elderly, respecting their living habits and choices, while providing necessary life care, medical care, and social interaction services. The characteristics of home-based elderly care include the provision of personalized services, the comfort of the family environment, and relatively low service costs. However, it also faces problems such as uneven distribution of service resources and shortage of professional nursing staff.

2.3 Current Application Status of Artificial Intelligence in Home-based Elderly Care

The application of artificial intelligence technology in home-based elderly care mainly focuses on health monitoring, daily life assistance, emergency response, and social interaction. For example, smart wearable devices can monitor the vital signs of the elderly in real-time, smart home systems can help the elderly more conveniently control various devices at home, and chatbots can provide a platform for companionship and communication. Although AI technology has made certain progress in the application of home-based elderly care, how to better integrate these technologies to provide comprehensive, continuous, and personalized services is still a challenge faced today.

Chapter Three Construction of Artificial Intelligence Home-based Elderly Care Service System

3.1 Framework of Home-based Elderly Care Service System

The home-based elderly care service system is a comprehensive service network aimed at providing comprehensive care and support for the elderly. The system includes many aspects such as basic life care, medical care, mental health, social activities, and legal assistance. With the assistance of artificial intelligence technology, the home-based elderly care service system can achieve more accurate and efficient service supply and can also dynamically adjust according to the personalized needs of the elderly.

3.2 Introduction of Key Artificial Intelligence Technologies

Key artificial intelligence technologies include but are not limited to machine learning, deep learning, natural language processing, computer vision, and speech recognition. These technologies enable machines to simulate human perception, cognition, and decision-making processes, thereby achieving adaptability to complex environments and rapid response to user needs. In the field of home-based elderly care, these technologies are applied to develop intelligent monitoring devices, interactive auxiliary systems, and automated service processes to improve service quality and efficiency.

3.3 Exploration of Artificial Intelligence Home-based Elderly Care Service Model

The exploration of the artificial intelligence home-based elderly care service model mainly focuses on how to effectively combine AI technology with home-based elderly care services to create a more humanized and intelligent service experience. This includes using data analysis to predict the health risks of the elderly, providing self-service for daily life through smart devices, and providing emotional support and social interaction through virtual assistants. In addition, it also involves how to establish standardized service processes and evaluation systems to ensure the quality and safety of services.

Chapter Four Impact of Digital Transformation on the Happiness of Home-based Elderly Care Life

4.1 Connotation and Characteristics of Digital Transformation

Digital transformation refers to the use of digital technology to reform existing business processes, corporate culture, and market strategies to meet the requirements of the digital economy. In the field of home-based elderly care, this transformation involves the deep integration of traditional elderly care services with information technology to create new service models and values. Its core characteristics include data-driven decision-making, service personalization and customization, and automated and intelligent service delivery.

4.2 Impact of Digital Transformation on the Quality of Life of the Elderly

Digital transformation has greatly improved the quality of life of the elderly by introducing intelligent devices and services. Intelligent health monitoring devices can track the health status of the elderly in real-time, discover abnormal situations in time and remind them to seek medical attention, reducing health risks. Smart home systems simplify many operations in daily life, enabling the elderly to live more independently. In addition, social and entertainment services provided by digital platforms have also enriched the spiritual life of the elderly.

4.3 The Role of Digital Transformation in the Mental Health of the Elderly

Mental health is an important part of the quality of life of the elderly. Digital transformation helps alleviate the loneliness and anxiety of the elderly by providing online consultation, psychological counseling, and virtual social platforms. The use of smart devices can also enhance the self-efficacy and sense of control of the elderly, thereby improving their psychological well-being.

4.4 Impact of Digital Transformation on Social Activities of the Elderly

Social activities are crucial for maintaining social connections and emotional support for the elderly. Digital transformation provides new social channels for the elderly through social media, online communities, and virtual reality technology. These platforms not only allow the elderly to communicate with others across geographical restrictions but also enable them to participate in various interest groups and activities, thereby expanding their social circle and increasing the frequency and quality of social interaction.

Chapter Five Empirical Analysis

5.1 Research Methods and Data Sources

This study adopts a combination of quantitative and qualitative analysis methods and collects data through questionnaire surveys and in-depth interviews. The questionnaire design includes basic information, AI technology usage, quality of life perception, and participation in social activities. In-depth interviews target specific cases to obtain more detailed user experience and feedback. Data comes from home-based elderly care service centers in multiple cities, covering elderly groups of different ages, genders, and economic conditions.

5.2 Construction of Empirical Model

In order to evaluate the impact of artificial intelligence technology on the quality of life of the elderly, this study constructs a multivariate linear regression model. The model includes independent variables such as AI technology usage frequency, technology satisfaction, health status, etc., as well as dependent variables such as life satisfaction, mental health status, and social activity frequency. In addition, control variables such as age, gender, education level, and economic status are also considered to ensure the accuracy of the model.

5.3 Analysis of Empirical Results

Empirical analysis results show that the use of AI technology is positively correlated with the life satisfaction and mental health status of the elderly. In particular, the elderly who regularly use intelligent health monitoring devices report a higher perception of quality of life. However, the impact of technology satisfaction on life satisfaction is not significant, indicating that in addition to the functionality of technology, user experience is also an important factor affecting quality of life. There is also a significant positive correlation between participation in social activities and life satisfaction, indicating that social interaction is equally important for improving the happiness of the elderly.

5.4 Policy Recommendations and Practical Significance

Based on the results of empirical analysis, it is recommended that policymakers and enterprises should pay attention to the application of artificial intelligence technology in home-based elderly care and focus on improving user experience. Encouraging the development of more intelligent products and services that meet the needs of the elderly, while strengthening technical training for the elderly, so that they can better utilize these technologies. In addition, community-level social activity organization should be strengthened to promote communication and interaction among the elderly, thereby improving their life satisfaction and happiness.

Chapter Six Conclusions and Prospects

6.1 Research Conclusions

Through systematic discussion and analysis of the application of artificial intelligence in home-based elderly care, this study draws the following conclusions: First, the application of artificial intelligence technology can significantly improve the quality of life of the elderly, especially in terms of health monitoring, daily life assistance, and social interaction. Second, digital transformation provides new solutions for home-based elderly care services, making services more personalized, efficient, and convenient. Finally, although technology itself has a positive effect on improving the happiness of the elderly, the quality of user experience and social interaction is still a key factor affecting the happiness of the elderly.

6.2 Research Deficiencies and Limitations

Although this study reveals the application effect of artificial intelligence in home-based elderly care to a certain extent, there are still some limitations. For example, the research sample's regional and cultural background is relatively limited, which may not fully represent the situation of all elderly groups. In addition, the study failed to fully consider the impact of individual differences on technology acceptance and usage effects, which may affect the universality of the research results.

6.3 Future Research Directions and Prospects

Future research can be deepened and expanded in the following aspects: First, expand the sample range, including the elderly under different cultural and economic backgrounds, to improve the representativeness and universality of the research. Second, deeply study how individual differences affect the acceptance and use of artificial intelligence technology by the elderly, as well as how these differences affect their happiness in life. Finally, explore the possibility of combining artificial intelligence technology with other elderly care service models, such as community-based elderly care and institutional elderly care, in order to find more comprehensive and effective elderly care service solutions.