Generative Artificial Intelligence Intervention and Individual Psychological Counseling on Emotional Distress in Young Adults
NCT06992180 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 222
Last updated 2025-05-28
Summary
This randomized controlled trial aims to evaluate the effectiveness of an AI-based mental health chatbot, Emohaa, in reducing symptoms of depression, anxiety, insomnia, and academic burnout among young adults experiencing emotional distress. A total of 222 participants will be randomly assigned to one of three groups: (1) AI chatbot intervention, (2) traditional counseling, or (3) waitlist control. The study spans six time points from baseline through one-month follow-up. Primary and secondary outcomes will be measured via validated self-report questionnaires. The intervention is delivered entirely online through a WeChat-integrated platform, ensuring high accessibility and scalability.
Conditions
- Depression, Anxiety
Interventions
- BEHAVIORAL
-
Generative Artificial Intelligence Intervention
The intervention is delivered via a generative artificial intelligence platform called Emohaa. Participants will register and gain access to the platform prior to the start of the trial. Emohaa's responses are based on Hill's helping skills theory in psychology and are designed to simulate the basic communication strategies of a human counselor. The system demonstrates strong capabilities in active listening, emotional mirroring, and empathy, supporting users in understanding their own thoughts and feelings, learning to cope with emotional challenges, and achieving a more optimistic and positive mental and emotional state.
- BEHAVIORAL
-
Individual Psychological Counseling
Participants in the traditional counseling group will receive individual psychological counseling sessions conducted by certified psychotherapists.
Sponsors & Collaborators
-
Beijing Normal University
collaborator OTHER -
China Agricultural University
collaborator OTHER -
Qinghai University
collaborator OTHER -
Central University of Finance and Economics, China
lead OTHER
Principal Investigators
-
Zhihong Qiao, Doctor · Beijing Normal University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 15 Years
- Max Age
- 30 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-05-20
- Primary Completion
- 2025-08-30
- Completion
- 2025-09-10
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