Optimization of Imagery Rescripting Research Using Generative Artificial Intelligence

Summary

This pilot randomized controlled trial will investigate the feasibility and effectiveness of using generative artificial intelligence to create personalized therapeutic scripts for imagery rescripting (ImRs). Eighty participants will listen to autobiographical scenarios based on their own memories of childhood criticism and neutral events. The scenarios will be generated by the Gemini large language model and reviewed by trained experimenters. On Day 1, all participants will be exposed to both critical and neutral scenarios and randomly assigned to either an experimental group receiving an ImRs intervention or a control group receiving no therapeutic modification. Skin conductance and subjective emotional ratings will be collected during the session, with follow-up questionnaires administered one week later. In addition, cognitive-behavioral therapists will evaluate the quality of the generated scripts. The study aims to assess emotional and physiological responses to AI-generated content, compare outcomes between groups, and explore the potential of large language models in scalable psychological interventions.

Eligibility

Inclusion Criteria:

* Age 18-35
* Score ≥ 8 on GAD-7 (Plummer et al., 2016)
* Ability to recall at least two childhood memories involving parental criticism

Exclusion Criteria:

* History of prolonged physical or sexual abuse
* Current psychotherapy or psychopharmacology
* PTSD diagnosis (DSM-5 screening)
* Substance abuse (TAPS tool)

Conditions4

Browse More Trials