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Optimization of Imagery Rescripting Research Using Generative Artificial Intelligence
Sponsor: University of Social Sciences and Humanities, Warsaw
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.
Official title: A Randomized Controlled Pilot Study on AI-Based Imagery Rescripting for Childhood Criticism Memories
Key Details
Gender
All
Age Range
18 Years - 35 Years
Study Type
INTERVENTIONAL
Enrollment
80
Start Date
2025-06-01
Completion Date
2025-12-31
Last Updated
2025-09-24
Healthy Volunteers
No
Interventions
Imagery Rescripting Intervention (AI-Generated)
Participants listened to a series of personalized audio scenarios based on their childhood memories of parental criticism and neutral events. At the end of the session, one critical scenario was presented in a modified version that included a therapeutic imagery rescripting (ImRs) intervention. In this script, a therapist figure entered the scene and addressed the child's unmet needs, following the standard rescripting format. The scripts were generated using the Gemini large language model and reviewed by trained experimenters to ensure coherence and therapeutic validity. The intervention aimed to reduce distress and intrusive thoughts related to the memory.
Locations (1)
SWPS University (University of Social Sciences and Humanities); Poznań Laboratory of Affective Neuroscience
Poznan, Wielkopolska, Poland