aceModerate evidence
Published recordHealthProblem Space
More
AI Chatbot Dependence as an Indirect Link Between Social Anxiety and Psychological Resilience: The Moderating Role of Perceived Social Support
- Truvace record
- TRV-2026-2553raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Survey
- Sources
- 1 sourcePeer-reviewed
- sha256
- f0fb56b8645a…check it
Generative artificial intelligence has transformed AI chatbots into systems that can provide information, emotional feedback, and social interaction. Although prior research has examined AI adoption, trust, and continuance intention, less is known about sustained reliance on AI chatbots and its relationship with psychological adaptation. Drawing on an integrated compensation-resource framework, this study examined whether social anxiety was indirectly associated with psychological resilience through AI chatbot d…
The problem
In a survey of 395 adult chatbot users in China, greater chatbot dependence was associated with lower psychological resilience even after accounting for social anxiety, a small indirect effect of -0.070.
What this doesn’t fix
All variables were self-reported at a single time point in one Chinese online sample, so the study cannot establish causal or temporal direction, and reverse or reciprocal relationships remain plausible.
Sources
1 on file- Behavioral Sciencesdoi:10.3390/bs16091505
Cite this record
v1Truvace Impact Record TRV-2026-2553, v1: “AI Chatbot Dependence as an Indirect Link Between Social Anxiety and Psychological Resilience: The Moderating Role of Perceived Social Support.” Truvace, 2026-11-12. /record/TRV-2026-2553 (accessed on the day you copy it). sha256 f0fb56b8645add0b…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
Certified into the record
Check this record hasn’t been altered
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2553 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.