Clinical Report: Exploring the Connection Between Generative AI Engagement and Life Satisfaction

Overview

This study investigates the relationship between generative AI engagement and life satisfaction among Hong Kong adults, highlighting the role of AI literacy as a mediator.

Background

The integration of generative AI tools into daily life has significant implications for mental health and well-being. Understanding how these tools affect life satisfaction is crucial, especially as they become more prevalent in health care and personal management.

Data Highlights

No specific numerical data or trial results were provided in the source material.

Key Findings

• Generative AI tools are increasingly used for health information-seeking and self-care management.
• AI literacy enhances users' autonomy and competence, potentially improving psychosocial health.
• Perceived AI intelligence predicts the use of generative AI among users.
• Disparities exist between willingness to adopt AI and actual usage among medical staff.
• Mixed perceptions of AI's potential in healthcare have been reported among older adults.

Clinical Implications

Healthcare professionals should consider the role of AI literacy in promoting the effective use of generative AI tools among patients.

Conclusion

The study highlights the importance of AI literacy in mediating the relationship between generative AI engagement and life satisfaction.

Related Resources & Content

1. Levin C, Naimi E, Saban M, Int J Med Inform, 2024 -- Evaluating GenAI systems to combat mental health issues in healthcare workers: an integrative literature review
2. Kanbach DK, Heiduk L, Blueher G, et al., Rev Manag Sci, 2023 -- The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective
3. Zhang Q, Zhang R, Xiong Y, et al., J Med Internet Res, 2025 -- Generative AI mental health chatbots as therapeutic tools: systematic review and meta-analysis of their role in reducing mental health issues
4. Ng DTK, Leung JKL, Chu SKW, Qiao MS, Comput Educ: Artif Intell, 2021 -- Conceptualizing AI literacy: an exploratory review
5. Dai QQ, Li M, Yang MS, et al., J Med Internet Res, 2025 -- Attitudes, perceptions, and factors influencing the adoption of AI in health care among medical staff: nationwide cross-sectional survey study
6. Rony MKK, Deb TR, Khatun MT, et al., J Med Surg Public Health, 2025 -- Attitudes of older patients toward artificial intelligence in decision-making in healthcare
7. Wong AKC, Lee JHT, Zhao Y, et al., JMIR Aging, 2025 -- Exploring older adults' perspectives and acceptance of AI-driven health technologies: qualitative study
8. Journal of Medical Internet Research (JMIR) — Generative Artificial Intelligence Literacy Scale for Nurses: Development and Psychometric Evaluation
9. Frontiers in Psychiatry — Generative AI as interactional infrastructure for meaning-centered care in later life
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12. APA Health Advisory on the Use of Generative AI Chatbots and Wellness Applications for Mental Health
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14. Systematic review and meta analysis of chatbots in the management of depressive and anxiety symptoms | npj Digital Medicine