Objective:

To investigate the relationship between generative AI engagement and life satisfaction, with a focus on AI literacy as a mediating factor among Hong Kong adults.

Approach:

• Theoretical Framework: Utilizes the Technology Acceptance Model (TAM) to predict generative AI use based on perceived usefulness and ease of use.
• Self-Determination Theory: Applies self-determination theory to explore how intrinsic motivation and psychological needs are fulfilled through AI literacy.

Key Findings:

• Generative AI tools are increasingly used for health information-seeking and self-care management.
• AI literacy enhances users' autonomy and competence.
• Mixed perceptions exist regarding AI's impact on quality of care and usability among older adults.
• Previous studies report a small correlation between generative AI use and life satisfaction.

Interpretation:

Limitations:

• Limited research on the relationship between generative AI use and life satisfaction.
• Previous studies report mixed or small correlations, indicating a need for further investigation.

Conclusion:

Sources:

• Levin et al. (2024)
• Kanbach et al. (2023)
• Zhang et al. (2025)
• Lu et al. (2009)
• Legris et al. (2003)
• Tarhini et al. (2026)
• Dai et al. (2025)
• Rony et al. (2025)
• Wong et al. (2025)
• Ng et al. (2021)
• Alabduljabbar (2024)
• Annapureddy et al. (2025)
• Rehman et al. (2024)
• Vorina et al. (2025)
• Hinks (2024)