Intelligent collaboration and artistic co-creation: a study on the enhancement mechanism of social well-being through AI

This study investigates how AI-enabled intergenerational artistic co-creation enhances Social well-being through a mixed-methods approach involving 120 participants across younger (15-25) and older (65+) age cohorts. The findings reveal a novel “triangulated collaboration model” wherein AI functions as both creative catalyst and communicative bridge between generations. Empirical results demonstrate statistically significant improvements: technological engagement convergence increased from 62% to 79% among older adults (p < .001), bidirectional knowledge transfer showed 28.7-point gains in cultural knowledge and 32.5-point gains in technical proficiency, and creative innovation scores improved by 47.2% in intergenerational groups compared to 22.9-28.6% in age-homogeneous groups. We identify multilevel enrichment mechanisms: at the individual (psychological well-being, self-efficacy, creativity), relational (communication, empathy, social capital), and community (inclusive behavior, community participation, cultural heritage preservation) levels. The Intelligent Collaborative Enhancement Model (ICEM) is a theoretical model that outlines how technological adaptability, creative co-construction, and mutual learning form “generative integration spaces.” Policy implications from this research are for educational, cultural, and social welfare policies, considering how the utilization of technological mediation can foster strong intergenerational relationships within a more age-diverse society.