Cited by 21Impact of Technology on AdolescentsDigital Mental Health InterventionsTechnostress in Professional Settings

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

Zhang, Xing, Li, Hansen, Yin, Mingyue, Zhang, Mingyang, Li, Zhaoqian, Chen, Zongwei·2026·International Journal of Human–Computer Interaction

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.

Integrity signals

Registry

Crossref · 10.1080/10447318.2025.2545464

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Zhang et al. found associations between LLM-CB dependence and depression, anxiety, and internet and smartphone dependence.

    “Zhang et al. found associations between LLM-CB dependence and depression, anxiety, and internet and smartphone dependence110.”
  • The search string was validated using three pre-selected target articles.

    “The search string was validated using three pre-selected target articles47,84,110.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zhang, X., Li, H., Yin, M., Zhang, M., Li, Z., & Chen, Z.
Affiliations
  • Universidad de Granada (ES)
  • Sichuan Agricultural University (CN)
  • Shanghai University of Sport (CN)
  • Jishou University (CN)
Corresponding author
Zhang, Xing
Venue
International Journal of Human–Computer Interaction
Published
2025-08-14
Volume
42
Issue
7
Pages
5592-5604
ISSN
  • 1044-7318 (ISSN-L)
  • 1532-7590
OpenAlex
W4413381959
Cited by
21
References
12
Citations by year
2026: 19 · 2025: 2
FWCI
36.59
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Human-Computer Interaction (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
Keywords
internet addiction, smartphone addiction, mental health, depression, anxiety, well-being, information retrieval, general adult population, technology dependence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review