The Impact of Married Immigrants's AI Utilization on Daily Life Satisfaction : Focusing on the Mediating Effects of Social Capital

This study analyzed the impact of artificial intelligence (AI) utilization on the daily life satisfaction of married immigrants, focusing on the mediating role of social capital.Using data from the 2023 Digital Information Gap Survey conducted by the Korea Institute for Intelligence and Information Society, this study empirically analyzed the relationship between AI utilization and daily life satisfaction among 700 married immigrants.The results indicated that higher AI utilization among married immigrants was associated with greater daily life satisfaction and social capital was found to mediate this relationship.These findings suggest the value of supporting immigrants in effectively using AI tools in their daily lives, such as accessing government services, managing their health, and maintaining connections with family and friends.Additionally, the study found that age had a negative impact on daily life satisfaction, suggesting that older immigrants may encounter more challenges in utilizing and adapting to AI.The policy implications of this study are as follows: To improve the daily life satisfaction of married immigrants, it is essential to enhance their digital literacy skills by developing AI programs and providing education.In particular, age-tailored support policies should be introduced to reduce the digital marginalization of elderly immigrants and increase their access to AI-based information.Furthermore, policies should promote the formation of social capital among married immigrants through AI-based support for connecting with the local community, thereby facilitating social integration.Strengthening social support and networks through AI technology should also be implemented to assist immigrants in addressing everyday challenges and enhancing their quality of life.These policy approaches aim to improve married immigrants' quality of life and social adjustment in the long term.