Clinical trials

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.

The primary goal of this pilot study is to test the feasibility and safety of a research protocol for a voluntary darkness retreat. The study will also allow for a preliminary examination of the psychological effects of the retreat. The investigators will investigate whether participants experience changes in their well-being and ruminative style, whether these changes persist over time, and if these effects are moderated by individual characteristics such as readiness for change or subjective evaluation of the experience as well as frequency of participants' monitoring. Participants will be randomly assigned to one of two experimental groups, both of which will spend 3 days and 3 nights in seclusion. These groups will differ only in the frequency of psychological monitoring during the retreat, allowing us to compare the effectiveness and safety of each protocol.

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.

The goal of this trial is to examine whether a mobile app intervention for rumination can modify a maladaptive feature of repetitive negative thinking (RNT) - this is understood by the link between daily RNT and well-being, depressive and anxiety symptoms. The main questions it aims to answer are: 1. If the intervention can modify the maladaptive feature of repetitive negative thinking - the investigators anticipate the link between daily rumination and maladaptive outcomes (poorer wellbeing, higher depressive/anxious symptoms) will be weaker in the intervention groups. 2. By examining (1) above, to confirm the role played by avoidance in repetitive negative thinking. 3. By splitting the intervention condition into two groups (one receiving concurrent support from a therapist, one not), to evaluate if interventions such as these might be enhanced by therapist support. 4. To examine if the impact of the intervention on depressive and anxious symptoms might be mediated by changes in beliefs regarding emotions (e.g. the valuation of negative emotions). Researchers will compare across four groups to examine the above effects: (1) intervention condition (therapist support); (2) intervention condition (no therapist support); (3) Partial intervention (daily sampling and emotion valuation questions); (4) Control group (only daily sampling questions). Participants will: * Be requested to participate in a four-week intervention, providing daily assessments of depressive and anxiety symptoms, affect, repetitive negative thinking, and rumination outcomes. * Use a mobile application during the intervention period, which has been designed by the research team (intervention groups), or provide daily assessment scores only (control groups). * Be assessed at pre-intervention (all groups), post-intervention (all groups), 1-month follow-up (all groups), and 3-month follow-up (intervention groups only).

This randomized controlled trial aims to test whether enhancing meta self-efficacy through a self-guided internet intervention improves young employees' work self-efficacy and occupational well-being. The trial will evaluate primary (work self-efficacy) and secondary (three dimensions of occupational well-being) outcomes. It is hypothesized that boosting meta self-efficacy will lead to improvements in outcomes, with effects assessed immediately after the intervention, and at 3- and 6-month follow-ups.