Artificial Companions and Social Well-being: From Artificial Intelligence Dependency to a Conceptual Framework for Balanced Human- Artificial Intelligence Mental Support

Main Article Content

Yu-Jun Huang
Tzu-Hsuan Yu
YU-Hung Chen

Abstract

Artificial Companions and Social Well-being:


From Artificial Intelligence Dependency to a Conceptual Framework for Balanced Human- Artificial Intelligence Mental Support


Abstract


This study investigates the relationship between Artificial Intelligence dependency and social dissatisfaction, aiming to understand how interaction with Artificial Companions influences users’ social satisfaction and emotional reliance. A quantitative research design was adopted, combining a structured survey with statistical correlation analysis. The adapted questionnaire integrated elements from the Internet Addiction Test      and UCLA Loneliness Scale, collecting data from 295 valid participants. All variables were standardized using z-scores, and internal reliability was verified through Cronbach’s Alpha (α = 0.90). Correlation and group comparison analyses were conducted to examine the associations between Artificial Intelligence Dependency and Social Dissatisfaction .


Results indicated a moderate positive correlation between AI Dependency and Social Dissatisfaction (r = 0.5403), suggesting that individuals with higher social dissatisfaction tend to rely more on artificial intelligence for emotional support. Comparative analysis revealed significant differences between high and low Artificial Intelligence Dependency groups (p < 0.01), further confirming that excessive artificial intelligence reliance is linked to diminished real- life social satisfaction. The findings were visualized through z-score distribution plots and comparative mean graphs, highlighting consistent trends across user segments. These results provide empirical evidence for the dual role of Artificial Intelligence as both a compensatory and displacement mechanism in social well-being.


After finishing the investigation, we did some paper review and came up with a conceptual hybrid Artificial Intelligence model that offers daily emotional interaction and real-time support through chatbots, adapts support using reinforcement learning and add time limits and alerts human counselors when signs of over-reliance or distress appear.


For our conclusion, though people might gain reliance on artificial intelligence , with responsible design and human oversight, artificial intelligence can still be a good tool to enhance people’s mental health


Keywords: AI dependence, social well-being, loneliness, emotional interaction, digital companion, mental health

Article Details

How to Cite
Huang, Y.-J., Yu, T.-H. and Chen, Y.-H. (2026) “Artificial Companions and Social Well-being: From Artificial Intelligence Dependency to a Conceptual Framework for Balanced Human- Artificial Intelligence Mental Support”, Journal of Asian Medical Students’ Association. Kuala Lumpur, Malaysia. doi: 10.52629/jamsa.vi.1018.
Section
EAMSC 2026 Nepal Scientific Poster

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