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 — BEHAVIORAL
    College 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 — BEHAVIORAL
    College 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 — BEHAVIORAL
    College 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 weeks
    College 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 weeks
    College 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 weeks
    College 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)

FacilityCityStateZIPSite coordinators
University of Southern CaliforniaLos AngelesCalifornia90089
Lydia Ignatova
714-855-7076
Emily Weiss
402-237-2492
Maja Matarić, PhD (PRINCIPAL_INVESTIGATOR)

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