Optimization of Late Imagery Rescripting Research Using Generative Artificial Intelligence
ImRs_LLM_DeanG
1 other identifier
interventional
40
1 country
2
Brief Summary
The aim of the study is to examine the effect of imagery rescripting (ImRs) in the context of utilizing large language models (LLMs). Intervention will involve the prior presentation of the most aversive fragment of the memory, the so-called 'hotspot.' This intervention will allow for the replication of the effect described by Dibbets and Arntz (2016), according to which the prior activation of the most emotional element of a memory enhances the effectiveness of ImRs. The study is also significant due to another ongoing study in which a substantial number of participants have already been examined; however, due to the exhaustion of funds, it was not possible to utilize the remainder of the recruited sample. Investigating an additional condition will allow for a more complete utilization of the available participant pool and significantly increase the project's scientific value by comparing the traditional ImRs mechanism with its AI-generated version.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Apr 2026
Shorter than P25 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2026
CompletedFirst Submitted
Initial submission to the registry
April 27, 2026
CompletedFirst Posted
Study publicly available on registry
May 4, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2026
May 4, 2026
April 1, 2026
2 months
April 27, 2026
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Generalized Anxiety Disorder DSM Scale (GAD)
DSM Scale (Craske et al., 2013, own translation); brief dimensional self-rating questionnaire for generalized anxiety disorder (American Psychiatric Association, 2013, Polish translation: translation made by the authors using a standard back-translation method, 2020). Scale consists of 10 items relating to the thoughts, feelings, and behaviors the subjects have experienced in the last 7 days. The answers are marked on a 4-point Likert scale (0=never, 4=all the time), with scores ranging 0-4.
Screening, Pre-intervention (Day 1) and 1-week follow-up
The Performance Failure Appraisal Inventory
The Performance Failure Appraisal Inventory was used to assess fear of failure. It is a 25-item questionnaire that measures the strength of subjective beliefs about the consequences of failure. The PFAI has five subscales: fear of experiencing shame and embarrassment; fear of devaluing one's self-esteem; fear of having an uncertain future; fear of important others losing interest; and fear of upsetting important others. PFAI score ranges from 35 to 175, with higher scores indicating a higher level of fear of failure.
Pre-intervention (Day 1)
Intrusive Thought Frequency (Rumination Inventory - adapted)
A modified version of the Event-Related Rumination Inventory will be used to assess the frequency and intrusiveness of thoughts related to the autobiographical criticism memories. The scale includes both intrusive and reflective rumination items, ranging from 20 to 80, with higher scores indicating a higher level of event-related rumination. Change in scores between baseline and follow-up will serve as an index of the cognitive impact of the intervention.
Pre-intervention (Day 1) and 1-week follow-up
Skin Conductance Level (SCL)
Electrodermal activity will be recorded continuously during the presentation of autobiographical scenarios to assess physiological arousal. The SCL signal will be analyzed during the baseline, critical, and neutral conditions, as well as during the imagery rescripting (ImRs) intervention (experimental group only). Data will be used to examine whether AI-generated criticism scripts elicit arousal.
During experiment/intervention (Day 1)
Emotional Response Ratings (Subjective)
Participants will rate the intensity of emotional reactions (fear, sadness, arousal, etc.) using Likert scales after each presented scenario. Scores will range from 1 to 10, with higher scores indicating a more intense emotional reaction. These ratings will help determine emotional engagement and compare affective response between criticism and neutral content, as well as between groups.
During experiment/intervention (Day 1)
Secondary Outcomes (5)
Therapist Ratings of Script Quality
Prior to intervention
Questionnaire on the Perceived Effectiveness and Appropriateness of Imagery-Based Intervention
Post-intervention (Day 1)
TAPS Tool - Substance Use Screening
Screening only
Post-Traumatic Stress Symptoms Scale (DSM)
Screening only
Working Alliance Inventory - Short Revised
Post-intervention (Day 1)
Other Outcomes (1)
Beck Depression Inventory
Screening only
Study Arms (1)
ImRs AI
EXPERIMENTALParticipants listened to personalized audio scripts based on their own childhood memories of parental criticism and neutral events. All participants heard both critical and neutral scenarios. At the end of the session, one critical scenario was presented in a modified version that included an imagery rescripting (ImRs) intervention, in which a therapist figure entered the imagined scene and addressed the child's unmet needs. All scripts were generated by the Gemini large language model and reviewed by experimenters. Participants rated their emotional responses and underwent continuous skin conductance recording during the session. Follow-up assessments were conducted one week later. (?)
Interventions
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.
Eligibility Criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
SWPS University (University of Social Sciences and Humanities); Poznań Laboratory of Affective Neuroscience
Poznan, Wielkopolska, 61-619, Poland
SWPS University of Social Sciences and Humanities; Poznań Laboratory of Affective Neuroscience
Poznan, Wielkopolska, 61-619, Poland
Related Publications (12)
Bradley MM, Sambuco N, Lang PJ. Imagery, emotion, and bioinformational theory: From body to brain. Biol Psychol. 2023 Oct;183:108669. doi: 10.1016/j.biopsycho.2023.108669. Epub 2023 Aug 28.
BACKGROUNDMcNeely J, Wu LT, Subramaniam G, Sharma G, Cathers LA, Svikis D, Sleiter L, Russell L, Nordeck C, Sharma A, O'Grady KE, Bouk LB, Cushing C, King J, Wahle A, Schwartz RP. Performance of the Tobacco, Alcohol, Prescription Medication, and Other Substance Use (TAPS) Tool for Substance Use Screening in Primary Care Patients. Ann Intern Med. 2016 Nov 15;165(10):690-699. doi: 10.7326/M16-0317. Epub 2016 Sep 6.
BACKGROUNDMossman SA, Luft MJ, Schroeder HK, Varney ST, Fleck DE, Barzman DH, Gilman R, DelBello MP, Strawn JR. The Generalized Anxiety Disorder 7-item scale in adolescents with generalized anxiety disorder: Signal detection and validation. Ann Clin Psychiatry. 2017 Nov;29(4):227-234A.
BACKGROUNDBusseri MA, Tyler JD. Interchangeability of the Working Alliance Inventory and Working Alliance Inventory, Short Form. Psychol Assess. 2003 Jun;15(2):193-7. doi: 10.1037/1040-3590.15.2.193.</citation> <pubmed_id>12847779
BACKGROUNDCann A, Calhoun LG, Tedeschi RG, Triplett KN, Vishnevsky T, Lindstrom CM. Assessing posttraumatic cognitive processes: the Event Related Rumination Inventory. Anxiety Stress Coping. 2011 Mar;24(2):137-56. doi: 10.1080/10615806.2010.529901.</citation> <pubmed_id>21082446
BACKGROUNDArntz, A. (2012). Imagery rescripting as a therapeutic technique: Review of clinical trials, basic studies, and research agenda. Journal of Experimental Psychopathology, 3(2), 189-208.
BACKGROUNDConroy, D. E. (2001). Progress in the development of a multidimensional measure of fear of failure: The Performance Failure Appraisal Inventory (PFAI). Anxiety, Stress and Coping, 14(4), 431-452.
BACKGROUNDDibbets P, Arntz A. Imagery rescripting: Is incorporation of the most aversive scenes necessary? Memory. 2016;24(5):683-95. doi: 10.1080/09658211.2015.1043307. Epub 2015 Jun 15.
BACKGROUNDLeBeau R, Mischel E, Resnick H, Kilpatrick D, Friedman M, Craske M. Dimensional assessment of posttraumatic stress disorder in DSM-5. Psychiatry Res. 2014 Aug 15;218(1-2):143-7. doi: 10.1016/j.psychres.2014.03.032. Epub 2014 Apr 5.
BACKGROUNDLeyton F, Olhaberry M, Moran J, De la Cerda C, Leon MJ, Sieverson C, Alfaro A, Hernandez C, Alvardo R, Steele H. Video Intervention Therapy for primary caregivers in a child psychiatry unit: a randomized feasibility trial. Trials. 2021 Oct 30;22(1):754. doi: 10.1186/s13063-021-05668-w.
BACKGROUNDPlummer F, Manea L, Trepel D, McMillan D. Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. Gen Hosp Psychiatry. 2016 Mar-Apr;39:24-31. doi: 10.1016/j.genhosppsych.2015.11.005. Epub 2015 Nov 18.
BACKGROUNDYao, Y., Duan, J., Xu, K., Cai, Y., Sun, Z., & Zhang, Y. (2024). A survey on large language model (llm) security and privacy: The good, the bad, and the ugly. High-Confidence Computing, 100211
BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Stanisław Karkosz, MA
SWPS University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Masking Details
- Participants were informed that the study investigated the use of imagery-based techniques, but they were not informed about the specific condition of material beeing generated by AI. The study employed partial masking to reduce expectancy effects while maintaining ethical transparency regarding the general purpose of the study.
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Research Assistant and Lecturer
Study Record Dates
First Submitted
April 27, 2026
First Posted
May 4, 2026
Study Start
April 1, 2026
Primary Completion (Estimated)
June 1, 2026
Study Completion (Estimated)
July 1, 2026
Last Updated
May 4, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Data will be available after publication and for up to 5 years.
- Access Criteria
- Requests should be submitted to the principal investigator (skarkosz@swps.edu.pl) and include a brief project description and intended use of data. Approved requests will receive access via a secure data repository or encrypted transfer.
De-identified individual participant data (IPD) that underlie the results reported in the primary publication (including questionnaire scores, psychophysiological measures, and outcome ratings) will be made available upon reasonable request, beginning 6 months after publication and for a period of 5 years. Access will be granted for non-commercial research purposes only, upon approval of a data access proposal and, where applicable, institutional ethics clearance.