Detection of depression risk among older adults using home-deployed socially assistive robots: a real-world study
-
By
-
Han Wool Jung
-
Jooho Lee
-
Jin Young Park
-
Woo Jung Kim
-
Jaesub Park
-
June 10, 2026
-
Clinical Scorecard: Identifying Depression Risk in Elderly Individuals Through Home-Utilized Socially Assistive Robots: An Empirical Investigation
At a Glance
| Category | Detail |
|---|
| Condition | |
| Key Mechanisms | |
| Target Population | Community-dwelling older adults aged 65 or older |
| Care Setting | |
Key Highlights
- Study involved 215 older adults using the Hyodol robot for health monitoring, with cohorts from 2024 and 2025.
Guideline-Based Recommendations
Diagnosis
- Depression status determined via clinical surveys (specify types) and expert-led video consultations.
Management
Monitoring & Follow-up
Risks
Patient & Prescribing Data
Involvement in remote video interviews and collection of personal data (specify types) for health monitoring.
Clinical Best Practices
- Incorporate continuous monitoring functions into socially assistive robots.
- Utilize both active and passive data for comprehensive health assessments.
- Focus on patient-centered interventions to improve mental health outcomes.
- Emphasize the importance of user engagement in the monitoring process.
Related Resources & Content
