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.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Number of user-spoken words during interactions with SAR
Timeframe: During each session, through study completion, approximately 6 weeks.
Overall length of interaction sessions
Timeframe: Through the duration of the study, approximately 6 weeks.
Number of days participants complete CBT exercises (adherence)
Timeframe: Through study completion, approximately 6 weeks.
Outcomes Questionnaire-45.2
Timeframe: Once in weeks 1, 3, 6 of the study.
Modified Working Alliance Inventory-Short Revised
Timeframe: Once in weeks 2, 4, 6 of study.
Sustem Usability Scale
Timeframe: Once on Week 2 Day 4 and Week 6 Day 4.
Semi-structured interview
Timeframe: One interview for 30 minutes - 120 minutes at the end of the 6 week study.