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Utilizing Embodied Artificial Intelligence (AI) for the Development of Digital Cognitive Behavioral Therapy (CBT) for Depression in Virtual Reality (VR)

NCT07172113 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2025-09-15

No results posted yet for this study

Summary

Depression is a prevalent mental disorder characterized by pervasive low mood, diminished interest or pleasure, and a range of cognitive and physical symptoms. According to the World Health Organization (WHO), depression is a leading cause of disability worldwide, affecting approximately 280 million individuals of all ages. In spite of the widespread occurrence and negative consequences linked to depression, fewer than 30% of individuals with common mental disorders sought assistance from mental health services in the previous year due to reasons such as, high-cost and stigma.

Cognitive behavioral therapy (CBT) is the gold-standard and evidence-based intervention for various mental health disorders, including depression, anxiety, and its effectiveness has been widely proven. With the recent advancement in AI and other relevant technologies, the use of digital CBT has become possible. Indeed, a recent systematic review demonstrated a comparable effectiveness of traditional CBT and digital CBT, after controlling the moderators (e.g., intervention duration, and adherence). While digital CBT has achieved impressive performance, the majority of them utilized web-based or app-based platforms. Therefore, one of the disadvantages of such digital CBT is the lack of interaction between (digital) therapists and clients. Additionally, lower adherence to digital interventions was observed, indicating the need for briefer sessions, such as single-session integrated CBT (SSI-CBT), for digital interventions. SSI-CBT involves a collaborative effort between the therapist and the client, aimed at assisting the client in accomplishing their desired outcome within a single session. It is understood that additional support is accessible if required. A recent study using SSI-CBT demonstrated promising results of its effectiveness in reducing depression and anxiety, which can last for two months. To further generalize the application of digital interventions, a more interactive virtual therapist utilizing a brief CBT-based intervention approach is desired.

This study will evaluate the effectiveness of virtual CBT therapist for reducing depression symptoms, compared to a waitlist control group. Based on previous research, it is expected that a virtual CBT therapist can significantly reduce the depression symptoms at both post-intervention and one-month follow-up.

Conditions

  • Depression Scale Score

Interventions

DEVICE

CBT + VR

This CBT intervention is conducted in VR using Embodied AI technology. A virtual therapist will present in a virtual therapy room. Participants can freely talk to and interactive with the virtual therapist.

Sponsors & Collaborators

  • Chinese University of Hong Kong

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
40 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-07
Primary Completion
2025-09-30
Completion
2025-09-30

Countries

  • Hong Kong

Study Locations

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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 NCT07172113 on ClinicalTrials.gov