Personalized AI-Driven Models in Cognitive Behavioral Therapy for Anxiety
SCH: Personalized AI-Driven Models for Supporting User Engagement and Adherence in Health Interventions: Validation in Cognitive Behavioral Therapy for Anxiety
2 other identifiers
interventional
140
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Mar 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 18, 2026
CompletedFirst Posted
Study publicly available on registry
February 24, 2026
CompletedStudy Start
First participant enrolled
March 30, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 1, 2028
May 4, 2026
February 1, 2026
2.3 years
February 18, 2026
April 28, 2026
Conditions
Outcome Measures
Primary Outcomes (7)
Number of user-spoken words during interactions with SAR
Using transcriptions of the interactions, the investigators will count the number of words uttered by the participant.
During each session, through study completion, approximately 6 weeks.
Overall length of interaction sessions
Using the interaction data from the robot interface, the investigators will collect the time that the participant started the interaction with the robot and the time that the interaction ended.
Through the duration of the study, approximately 6 weeks.
Number of days participants complete CBT exercises (adherence)
Using the interaction data from the robot interface, the investigators will collect the number of days that the participant interacts with the system at least once during the day
Through study completion, approximately 6 weeks.
Outcomes Questionnaire-45.2
The total reported symptom distress value from the symptom distress subscale. Question scale (0-4). A higher total score indicates higher distress overall, and higher scores for question subsets indicate worse outcomes for symptom distress, interpersonal relations, and social role.
Once in weeks 1, 3, 6 of the study.
Modified Working Alliance Inventory-Short Revised
Repeated daily measure for assessing the quality of the relationship with the SAR companion. Question scale (1-5). Higher scores indicate stronger alliance.
Once in weeks 2, 4, 6 of study.
Sustem Usability Scale
The total reported usability score for evaluating participant perception of SAR companion's usability. Question responses scale from strongly agree to strongly disagree. Responses should not indicate trends in participant outcomes, but should instead help the investigators understand participants' perception of the system.
Once on Week 2 Day 4 and Week 6 Day 4.
Semi-structured interview
Focus group interviews with the investigators and participants will be used to process for collecting qualitative feedback and insights. The investigators will use this data to perform thematic analysis of participant responses while using the system.
One interview for 30 minutes - 120 minutes at the end of the 6 week study.
Other Outcomes (1)
GAD-7 Questionnaire
Once in weeks 2, 4, 6 of the study.
Study Arms (3)
Explicit CBT SAR Personalization for 6 weeks
EXPERIMENTALCollege 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.
Implicit CBT SAR Personalization for 6 weeks
EXPERIMENTALCollege 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
PLACEBO COMPARATORCollege 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.
Interventions
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.
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.
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.
Eligibility Criteria
You may qualify if:
- Are 18 years of age or older
- Are university students
- Are able to communicate in English
- Have corrected-to-normal vision and hearing
- Consent to have audio/video/interaction data recorded as part of the study
- Have a GAD-7 (Generalized Anxiety Disorder-7 item) score of 5 or greater, indicating mild to elevated levels of self-reported symptoms of anxiety
- Have a lower than minimal level of suicidality risk as measured by the Columbia Suicide Severity Rating Scale (C-SSRS) during screening ("NO" responses to items 3, 4, 5, and 6 on C-SSRS)
- Having access to home WiFi
You may not qualify if:
- Are less than 18 years of age
- Are not university students
- Are not able to communicate in English
- Do not have corrected-to-normal vision and hearing
- Do not consent to have audio/video/interaction data recorded as part of the study
- Have a GAD-7 (Generalized Anxiety Disorder-7 item) score of 4 or lower.
- Higher than a minimal level of suicidality risk as measured by the Columbia Suicide Severity Rating Scale (C-SSRS) during screening ("YES" responses to items 3, 4, 5, or 6 on C-SSRS)
- Don't have access to home WiFi
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Southern California
Los Angeles, California, 90089, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Chan Soon-Shiong Chair and Distinguished Professor of Computer Science, Neuroscience, and Pediatrics
Study Record Dates
First Submitted
February 18, 2026
First Posted
February 24, 2026
Study Start
March 30, 2026
Primary Completion (Estimated)
August 1, 2028
Study Completion (Estimated)
August 1, 2028
Last Updated
May 4, 2026
Record last verified: 2026-02