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Evaluating the Impact AI Avatar-led Mental Health Interventions for Keeping Employees in Work

NCT07436117 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50

Last updated 2026-02-27

No results posted yet for this study

Summary

This study will examine whether an artificial intelligence (AI) avatar-led mental health programme can help employees experiencing symptoms of depression. The programme delivers structured, self-guided psychological support over several short sessions that participants complete online over a period of several weeks.

Approximately 50-80 adults will take part. Participants will be randomly assigned either to start the AI programme immediately or to continue with their usual support and access the programme later. All participants will complete questionnaires before and after the study period to assess changes in mood, anxiety, and work functioning. Some participants will also be invited to take part in brief interviews to share their experiences of using the programme.

The aim of the study is to evaluate whether this AI-based intervention can improve mental health and workplace functioning, and to assess how acceptable and safe it is for use in a working population.

Conditions

Interventions

BEHAVIORAL

Remi, AI avatar-led cognitive behavioural therapy intervention

The InsideOut AI programme for low mood is based on principles of Cognitive Behavioral Therapy (CBT), adapted into a self-paced, avatar-led format. Participants in the intervention group will complete six sessions over a four to six-week period, each lasting 10-15 minutes. The sessions will cover the following key components: 1. Session 1-2: Psychoeducation on depression and the role of CBT. 2. Session 3-4: Cognitive restructuring techniques to challenge negative thought patterns. 3. Session 5-6: Coping behavioural strategies for managing low mood and preventing relapse. The programme is designed to be fully automated, with personalised feedback provided by the AI avatar based on participants' responses and progress. Throughout the programme, participants will also complete self-check-ins to track their mood and identify progress. Engagement and adherence to the programme will be monitored through the platform's data analytics, allowing us to track session completion rates and user int

Sponsors & Collaborators

  • University of Roehampton

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-10-07
Primary Completion
2026-06-30
Completion
2026-06-30

Countries

  • United Kingdom

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07436117 on ClinicalTrials.gov