Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis

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This systematic review and meta-analysis evaluates the clinical effectiveness of AI-driven chatbots for depression and examines how specific interaction features influence treatment adherence and outcomes. The study synthesizes data from 11 randomized controlled trials involving over 2,000 participants to assess symptom reduction and user engagement metrics. It identifies emotional responsiveness, structured feedback, and interaction frequency as factors consistently associated with higher adherence, while noting that overall clinical effects were not statistically significant.

ID
7d05ec8033424597
Source org
PubMed Central
Author
Ting Huang (King's College London), Shuangyu Li (Northeastern University London), Yanzhong Wang (King's College London), Wei Liu (King's College London)
Published
2026-06-30
OA status
gold
DOI
10.2196/88697
PMID
Not recorded
PMCID
Not recorded
Citations
0

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BibTeX

@article{allodium:7d05ec8033424597,
  title = {Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis},
  author = {Ting Huang and Shuangyu Li and Yanzhong Wang and Wei Liu},
  year = {2026},
  journal = {PubMed Central},
  doi = {10.2196/88697},
  url = {https://doi.org/10.2196/88697}
}

RIS

TY  - JOUR
TI  - Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis
AU  - Huang, Ting
AU  - Li, Shuangyu
AU  - Wang, Yanzhong
AU  - Liu, Wei
PY  - 2026
PB  - PubMed Central
DO  - 10.2196/88697
UR  - https://doi.org/10.2196/88697
ER  -

APA

Huang, T., Li, S., Wang, Y., & Liu, W. (2026). Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis. PubMed Central. https://doi.org/10.2196/88697

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