Safety, efficacy and acceptability of human-GenAI single-session exposure-based intervention for academic anxiety: randomized controlled trials

Generative AI (GenAI) may expand access to exposure therapy, a gold-standard anxiety treatment, but its safety, efficacy, and acceptability remain untested. We developed a hybrid human–GenAI single-session exposure program targeting academic anxiety and evaluated it across two randomized controlled trials ( N = 425; Study 1: ChiCTR2500101784, preregistered April 29, 2025; Study 2: OSF preregistered August 13, 2025, https://doi.org/10.17605/OSF.IO/DW9B2 ; ChiCTR2600123876, retrospectively registered April 30, 2026) using waitlist and active control. The program was perceived as safe and acceptable by participants. Compared with both controls, the intervention generally produced greater improvements across primary outcomes, including immediate state anxiety and two-week follow-up academic anxiety and procrastination ( d = 0.25–0.35 vs. active control; 0.43–0.58 vs. waitlist). Effects on secondary outcomes, including positive and negative affect, generalized anxiety, and depressive symptoms, were limited. These findings provide initial evidence that human–GenAI collaboration can safely deliver exposure-based interventions, potentially expanding access to evidence-based care.

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Publication Details

Journal
npj Digital Medicine
Published
2026-09-12
DOI
https://doi.org/10.1038/s41746-026-03199-9
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00

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article

Safety, efficacy and acceptability of human-GenAI single-session exposure-based intervention for academic anxiety: randomized controlled trials

Wenting Mu, Yong‐Jin Liu, Howard Berenbaum, Nisha Yao et al.
npj Digital Medicine
Digital Mental Health Interventions
article

Safety, efficacy and acceptability of human-GenAI single-session exposure-based intervention for academic anxiety: randomized controlled trials

Wenting Mu, Yong‐Jin Liu, Howard Berenbaum, Nisha Yao, Chuncheng Huang, Yanling Yue, Yanwen Yu
article en

Abstract

Generative AI (GenAI) may expand access to exposure therapy, a gold-standard anxiety treatment, but its safety, efficacy, and acceptability remain untested. We developed a hybrid human–GenAI single-session exposure program targeting academic anxiety and evaluated it across two randomized controlled trials ( N = 425; Study 1: ChiCTR2500101784, preregistered April 29, 2025; Study 2: OSF preregistered August 13, 2025, https://doi.org/10.17605/OSF.IO/DW9B2 ; ChiCTR2600123876, retrospectively registered April 30, 2026) using waitlist and active control. The program was perceived as safe and acceptable by participants. Compared with both controls, the intervention generally produced greater improvements across primary outcomes, including immediate state anxiety and two-week follow-up academic anxiety and procrastination ( d = 0.25–0.35 vs. active control; 0.43–0.58 vs. waitlist). Effects on secondary outcomes, including positive and negative affect, generalized anxiety, and depressive symptoms, were limited. These findings provide initial evidence that human–GenAI collaboration can safely deliver exposure-based interventions, potentially expanding access to evidence-based care.

npj Digital Medicine
University of Illinois Urbana-Champaign (US), Capital University of Physical Education and Sports (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Tsinghua Initiative Scientific Research Program
Openalex Percentile: Top 9%
Digital Mental Health Interventions
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