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When young adults turn to AI chatbots for emotional support: Psychosocial correlates and dependence tendencies
ABSTRACT
Background:
Generative artificial intelligence (AI) chatbots are increasingly used for mental health–related purposes, yet little is known about factors associated with such use or AI chatbot dependence.
Objective:
This study examined factors associated with young adults’ use of AI chatbots for emotional self-disclosure and mental health–related support, as well as associations between AI chatbot use and dependence.
Methods:
Participants were 820 individuals aged 18 to 29 years recruited through a Japanese online survey panel. Self-report measures assessed psychosocial factors (self-esteem and loneliness), mental health symptoms (anxiety and depression), AI chatbot use (emotional self-disclosure and mental health–related support), and AI chatbot dependence (emotional dependence and social anxiety–related dependence).
Results:
Overall, 46.5% of participants reported using AI chatbots for emotional self-disclosure at least once in the past month, including 7.9% who reported doing so almost daily. In addition, 41.0% reported using AI chatbots for mental health–related support, including 6.5% who reported almost daily use. Anxiety and depressive symptoms were combined into a mental health symptoms composite because of their high correlation. Multivariable logistic regression showed that mental health symptoms, but not self-esteem or loneliness, were associated with both emotional self-disclosure and mental health–related support. Among emotional self-disclosure users, emotional self-disclosure frequency was positively associated with both dependence dimensions. Path analyses indicated that a model specifying psychosocial factors and mental health symptoms as antecedent variables to AI chatbot use and dependence fit the data better than an AI-initiated alternative. In this model, lower self-esteem and greater loneliness were associated with higher mental health symptoms, which were associated with greater AI chatbot dependence largely through direct pathways, with a smaller additional pathway through more frequent emotional self-disclosure. Among emotional self-disclosure users, loneliness was the only significant psychosocial correlate of emotional dependence.
Conclusions:
Findings suggest that young adults experiencing mental health symptoms may be more likely to use AI chatbots for emotional self-disclosure and mental health–related support, while loneliness may be particularly relevant to emotional dependence among users. These findings highlight the need to understand AI chatbot use not only as a technological behavior, but also as part of young adults’ broader emotional and help-seeking landscape.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.