Exploring Predictors of Subjective Well-Being among Seoul Residents : Domain Satisfaction and Domain-Specific Trust in AI Applications

In the current research, we examine the factors linked to individuals’ subjective well-being among Seoul residents in the era of Artificial Intelligence(AI), primarily focusing on domain satisfaction and domain-specific trust in AI applications, respectively. Specifically, we investigate whether (1) Seoul residents’ domain satisfaction(i.e., standard of living, health, accomplishments in life, relationships with family/ friends/ acquaintances, sense of safety, sense of belonging to community, future stability, amount of time available to do things you like, and neighborhood environment) and (2) domain-specific trust in AI applications(i.e., healthcare, transportation, human resources & recruitment, legal·administrative·tax & accounting, arts, household tasks & caregiving services, and education) are associated with their subjective well-being in South Korea. To answer the research question, we conducted a hierarchical multiple regression analysis using residents living in Seoul, South Korea(n=1,851). The results indicate that (1) domain satisfaction with standard of living, accomplishments in life, and sense of safety is positively associated with subjective well-being; and (2) domain-specific trust in AI applications(i.e., healthcare and legal·administrative·tax & accounting) is positively associated with subjective well-being. The findings provide important implications to enhance Seoul residents’ subjective well-being in the era of AI.