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August 14, 2025International Journal of Human-Computer Interaction16 citations

Investigating AI Chatbot Dependence: Associations with Internet and Smartphone Dependence, Mental Health Outcomes, and the Moderating Role of Usage Purposes

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XZXing ZhangHLH. LiMYMingyue Yin

Key Points

  • AI chatbot dependence is moderately related to internet and smartphone dependence, but appears less significant with mental health.
  • Positive links between AI chatbot dependence and depression or anxiety were found, while results for well-being varied.
  • Assessment of usage purposes revealed they moderated the chatbot-well-being relationship, with information seekers reporting enhanced well-being.
  • These findings imply that AI chatbot dependence has distinct psychological characteristics, differing from traditional technology dependence.

Abstract

With the rapid rise of AI chatbots, concerns about AI chatbot dependence are increasing. Prior research has focused primarily on university students, leaving limited understanding of its broader psychological and behavioral implications. This study examined associations between AI chatbot dependence, internet and smartphone dependence, and mental health outcomes (depression, anxiety, and well-being) in a general adult sample (N = 1,146). Usage purposes were also examined as a moderator. AI chatbot dependence was moderately correlated with internet and smartphone dependence, but these associations were weaker than the internet–smartphone link. Positive associations were found between AI chatbot dependence and depression or anxiety, but not with mental well-being. Notably, usage purpose moderated the relationship between chatbot dependence and well-being: individuals using chatbots primarily for information retrieval reported higher well-being. While AI chatbot dependence is positively linked to traditional technology dependence, its association with mental health appears weaker, suggesting a different psychological profile.

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Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68af50a1ad7bf08b1ead8c93https://doi.org/10.1080/10447318.2025.2545464
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