Main Article Content

Abstract

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.

Keywords

Intergenerational collaboration Artificial Intelligence in the arts Social well-being Triangulated collaboration model

Article Details

Author Biographies

Wanyi He, The National University of Malaysia, Lingkungan Johan, 43600 Bandar Baru Bangi,Selangor, Malaysia

PhD candidate in Sociology of Education, Faculty of Education, Universiti Kebangsaan Malaysia. His research interests are in the areas of students' social well-being, educational tracking and social stratification.

Anuar Bin Ahmad, The National University of Malaysia, Lingkungan Johan, 43600 Bandar Baru Bangi,Selangor, Malaysia

Supervisor for PhD students in Sociology of Education, Faculty of Education, Universiti Kebangsaan Malaysia, with research interests in student well-being, Sociology of Education, and History Education.

Nasruddin Yunos, Centre for Liberal Studies, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia

Supervisor for PhD students at the Curriculum Centre, Universiti Kebangsaan Malaysia, with research interests in Civilization Studies, Sociology of Religion, and Ethnic Studies.

Bingbing Chen, The National University of Malaysia, Lingkungan Johan, 43600 Bandar Baru Bangi,Selangor, Malaysia

PhD candidate in Sociology of Education, Faculty of Education, Universiti Kebangsaan Malaysia. Her research interests include rural education, teacher education and sociology of education. Article published in Cases of International Teaching and Learning, Volume 8, 2024: Enhancing the Quality of Life of Multi-Village Teachers - Optimizing the Targeted Training System - A Practical Consideration Based on Rural Cases

How to Cite
He, W., Ahmad, A. B., Yunos, N., & Chen, B. (2025). Intelligent collaboration and artistic co-creation: a study on the enhancement mechanism of social well-being through AI-enabled intergenerational integration. Future Technology, 4(4), 255–266. Retrieved from https://fupubco.com/futech/article/view/337
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References

  1. Baas, M. (2024). Artificial intelligence and the question of creativity: Art, data and the sociocultural archive of AI-imaginations. International Journal of Cultural Studies. https://doi.org/10.1177/13675494241246640
  2. Campbell, F., Whear, R., Rogers, M., Sutton, A., & Thompson-Coon, J. (2024). What is the effect of intergenerational activities on the wellbeing and mental health of children and young people?: A systematic review. Campbell Systematic Reviews, 20(1), e1429. https://doi.org/10.1002/cl2.1429
  3. Davis, J. M., & Ogbanufe, O. (2024). The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda. International Journal of Information Management, 78, 102807. https://doi.org/10.1016/j.ijinfomgt.2024.102807
  4. Duester, E. (2024). Digital art work and AI: A new paradigm for work in the contemporary art sector in China. European Journal of Cultural Management and Policy, 14, 12470. https://doi.org/10.3389/ejcmp.2024.12470
  5. Frost, S., & Stack, J. (2024). Cultural work, wellbeing, and AI. European Journal of Cultural Management and Policy, 14, 12825. https://doi.org/10.3389/ejcmp.2024.12825
  6. Giarrusso, R., & Putney, N. (2023). Strengthening intergenerational solidarity with social workers at the helm. Social Worker, 2025 Social Work Month Project. https://www.socialworker.com/extras/2025-social-work-month-project/Intergenerational-solidarity-social-workers-at-the-helm/
  7. Giarrusso, R., & Putney, N. (2023). Strengthening intergenerational solidarity with social workers at the helm. Social Worker, 2025 Social Work Month Project. https://www.socialworker.com/extras/2025-social-work-month-project/Intergenerational-solidarity-social-workers-at-the-helm/
  8. Whear, R., Campbell, F., Sutton, A., Rogers, M., et al. (2023). What is the effect of intergenerational activities on the wellbeing and mental health of older people?: A systematic review. Campbell Systematic Reviews, 19(4), e1355. https://doi.org/10.1002/cl2.1355
  9. World Health Organization. (2023). Global intergenerational week 2024: Connecting generations through intergenerational contact. House of Commons Library. https://commonslibrary.parliament.uk/research-briefings/cdp-2024-0094/
  10. Mallick, B., & van den Berg, J. (2025). Intergenerational grounding of women's environmental non-migration. Population and Environment, 47, 7. https://doi.org/10.1007/s11111-025-00475-w
  11. Latikka, R., Bergdahl, J., Savela, N., & Oksanen, A. (2023). AI as an artist? A two-wave survey study on attitudes toward using artificial intelligence in art. Poetics, 97, 101797. https://doi.org/10.1016/j.poetic.2023.101797
  12. Messingschlager, T. V., & Appel, M. (2023). Mind ascribed to AI and the appreciation of AI-generated art. New Media & Society. https://doi.org/10.1177/14614448231200248
  13. Núñez-Cacho, P., Molina-Moreno, V., Galvez-Sánchez, F., & Prados, B. (2024). Exploring the transformative power of AI in art through a circular economy lens: A systematic literature review. Heliyon, 10(4), e25388. https://doi.org/10.1016/j.heliyon.2024.e25388
  14. MIT RAISE. (2023). Responsible AI for social empowerment and education. Massachusetts Institute of Technology. https://raise.mit.edu/
  15. Herndon, H., & Dryhurst, D. (2024). Articulating arts-led AI: Artists and technological development in cultural policy. European Journal of Cultural Management and Policy, 2024, 12820. https://doi.org/10.3389/ejcmp.2024.12820
  16. Oates, G. (2023). Cultural work, wellbeing, and AI: Exploring the impact of artificial intelligence on heritage organizations. European Journal of Cultural Management and Policy, 14, 12825. https://doi.org/10.3389/ejcmp.2024.12825
  17. Przegalinska, A. (2024). Extending human creativity with AI. Information Systems Frontiers, 2024. https://doi.org/10.1016/j.isf.2024.2713374524000062
  18. Murire, O. T. (2024). Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture. Administrative Sciences, 14(12), 316. https://doi.org/10.3390/admsci14120316
  19. Kshetri, N., Barlow, J., & Rossi, F. (2023). Collaborative AI in the workplace: Enhancing organizational performance through resource-based and task-technology fit perspectives. International Journal of Information Management, 2024, 102807. https://doi.org/10.1016/j.ijinfomgt.2024.001014
  20. Reynolds, J. M., & Landre, A. (2023). Should artificial intelligence play a role in cultivating social connections among older adults? Journal of Ethics, American Medical Association. https://journalofethics.ama-assn.org/article/should-artificial-intelligence-play-role-cultivating-social-connections-among-older-adults/2023-11
  21. Campbell, F., Whear, R., Rogers, M., Sutton, A., & Thompson-Coon, J. (2024). What is the effect of intergenerational activities on the wellbeing and mental health of children and young people?: A systematic review. Campbell Systematic Reviews, 20(1), e1429.
  22. Jarrott, S. E., Turner, S. G., Juris, J., Scrivano, R. M., & Weaver, R. H. (2022). Program practices predict intergenerational interaction among children and adults. The Gerontologist, 62(3), 385-396.
  23. Jarrott, S. E., Turner, S. G., Juris, J., Scrivano, R. M., & Weaver, R. H. (2022). Program practices predict intergenerational interaction among children and adults. The Gerontologist, 62(3), 385-396.
  24. Wong, A. K. C., Lee, J. H. T., Zhao, Y., Lu, Q., Yang, S., & Hui, V. C. C. (2025). Exploring older adults' perspectives and acceptance of AI-driven health technologies: Qualitative study. JMIR Aging, 8, e66778.
  25. Stratton, S. C., & Dias, M. B. (2021). Why we must consider the intergenerational impacts of AI. World Economic Forum. https://www.weforum.org/stories/2021/10/why-we-must-consider-the-intergenerational-impact-of-ai/#:~:text=Technology%20is%20often%20used%20to,but%20those%20in%20the%20future.