Personalized AI-Driven Models in Cognitive Behavioral Therapy for Anxiety
Part of paid clinical trials in Los Angeles, California.
- Sponsor
- University of Southern California
- Study ID
- NCT07430800
- Status
- Recruiting
Conditions
- Generalized Anxiety Disorder (GAD)
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Explicit CBT SAR Personalization for 6 weeks — BEHAVIORALCollege student participants with clinically elevated anxiety will engage in 6 weeks of in-home CBT daily exercises with an explicitly personalized CBT SAR in the participants' homes. Participants will receive personalized re-engagement feedback delivered by the SAR will be based on explicit user feedback regarding their subjective preferences related to the robot attributes and engagement features.
- Implicit CBT SAR Personalization for 6 weeks — BEHAVIORALCollege student participants with clinically elevated anxiety will engage in 6 weeks of in-home CBI daily exercises with an implicitly personalized CBT SAR in the participants' homes. The personalized re-engagement feedback provided by the SAR will be based on machine learning methods applied to implicit visual and auditory cues.
- Control CBT SAR for 6 weeks — BEHAVIORALCollege student participants with clinically elevated anxiety will engage in 6 weeks of in-home CBT daily exercises with a non-personalized CBT SAR. Participants will not have the capability to personalize the robot's attributes, and this condition will be a control baseline comparison group for the personalized intervention conditions described above.
Study Details
Untreated anxiety undermines long-term physical and emotional wellbeing, especially among college students, with rates worsening since the onset of the COVID-19 pandemic. Cognitive Behavioral Therapy (CBT) is the leading evidence-based intervention for anxiety, but many students fail to complete exercises between CBT sessions, reducing its effectiveness. Socially assistive robots (SARs) help promote adherence to home-based practice in the context of elder care, social skill learning, and physical therapy, but it is unknown how SARs can enhance CBT. The specific objective of this research is to develop personalized CBT SARs that can support CBT compliance for college students with anxiety. To meet the goals of the proposed work, these studies will determine how SAR personalization based on implicit and explicit feedback can help promote greater CBT compliance and anxiety reduction outcomes for students.
Key Dates
- Start date
- Mar 30, 2026
- Status verified
- Feb 2026
- Primary completion
- Feb 14, 2028
- Completion
- Aug 15, 2028
Study Design
- Enrollment
- 140 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- BASIC_SCIENCE
Arms
- Experimental: Explicit CBT SAR Personalization for 6 weeksCollege student participants with clinically elevated anxiety will engage in 6 weeks of in-home CBT daily exercises with an explicitly personalized CBT SAR in the participants' homes. Each participant will receive personalized re-engagement feedback delivered by the SAR will be based on explicit user feedback regarding the participant's subjective preferences related to the robot attributes and engagement features.
- Experimental: Implicit CBT SAR Personalization for 6 weeksCollege student participants with clinically elevated anxiety will engage in 6 weeks of in-home CBI daily exercises with an implicitly personalized CBT SAR in the participants' homes. The personalized re-engagement feedback provided by the SAR will be based on machine learning methods applied to implicit visual and auditory cues.
- Placebo Comparator: Control CBT SAR for 6 weeksCollege student participants with clinically elevated anxiety will engage in 6 weeks of in-home CBT daily exercises with a non-personalized CBT SAR in the participants' homes. Participants will not have the capability to personalize the robot's attributes, and this condition will be a control baseline comparison group for the personalized intervention conditions described above.
Primary Outcome Measure
Number of user-spoken words during interactions with SAR [ Time Frame: During each session, through study completion, approximately 6 weeks. ]
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| University of Southern California | Los Angeles | California | 90089 | Maja Matarić, PhD (PRINCIPAL_INVESTIGATOR) |
Find similar trials in Los Angeles, CA
Related Studies
- Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric InterventionsEnrolling By Invitation · Psyrin Inc. · Sunnyvale, California
- Study to Assess Adverse Events and Change in Disease Activity When Oral ABBV-932 is Added to Antidepressant Therapies in Adult Participants With Generalized Anxiety DisorderPHASE2 · Recruiting · AbbVie · Huntsville, Alabama
- Targeting Social Function in Anxiety and Eating DisordersRecruiting · University of Texas Southwestern Medical Center · Dallas, Texas
- Comparative Effectiveness of Internet-based Versus Parent-Coached Cognitive-Behavioral Therapy For Children and Adolescents With Anxiety and OCDRecruiting · Baylor College of Medicine · Houston, Texas