Medical-AI trial: a human support robot to help teach children about asthma (AIR) — evaluating design and usability (NCT07387718)
A prevention study evaluating the design and usability of a new asthma-education protocol delivered with a Human Support Robot for children with asthma. The primary outcomes are feasibility (enrollment rate, completion rate, session length, number of technical issues) and the acceptability of the robot-supported education. 98 participants; completed.
Trial overview (primary data)
- StatusCompleted
- ConditionsAsthma in Children, Artificial Intelligence
- InterventionsBEHAVIORAL: Standard Asthma Education, BEHAVIORAL: Artificially Intelligent Robot (AIR) Support Intervention
- SponsorUniversity of Miami
- Target enrollment98 participants
- Period2026-02-10 〜 2026-06-17
Key points
- An interventional (prevention) study evaluating the design and usability of an asthma-education protocol using a Human Support Robot for children with asthma.
- Primary outcomes are feasibility (enrollment rate, completion rate, session length, number of technical issues).
- It also evaluates the acceptability of the robot and the robot-supported education sessions.
- Childhood asthma hinges on self-management education, which is hard to sustain and needs an approachable delivery.
- 98 participants; completed. At the feasibility-and-acceptability stage, not an establishment of symptom or outcome improvement.
- Enrolment, completion, session length and technical problems are all indicators, placing the study at feasibility.
1Childhood asthma and daily self-management
Asthma is a common chronic disease in children, and preventing attacks depends on education in self-management, such as how to use inhalers and how to avoid triggers (allergens and the like). But keeping children engaged with such education is itself hard, calling for an approachable, non-boring way to deliver it. So this study placed a humanoid support robot in the role of teacher.
2A prevention study of a newly built support
Per the registry summary, this prevention study (AIR) evaluates the design and usability of a newly developed asthma-education protocol using a Human Support Robot (HSR) for children with asthma. The primary outcomes are feasibility indicators, enrollment rate, completion rate, session length, and the number of technical issues, plus the acceptability of the robot and the robot-supported education sessions. The size is 98, and the study is completed.
3What feasibility is measured by
The study does not claim that a robot teaching improves the disease. It sits at the stage of confirming that it can run in the field without strain, and the indicators are concrete.
| Indicator evaluated | What it looks at |
|---|---|
| Enrolment rate | Whether people will take part at all |
| Completion rate | Whether they can see it through |
| Session length | Whether it fits a workable duration |
| Technical problems | Whether it runs stably in the field |
| Acceptability | Whether children and the setting accept it |
Including a count of technical problems among the endpoints shows a concern with practical implementability. Asthma is a common chronic condition in children, and preventing attacks depends on self-management education, which is hard to sustain and calls for a way of telling that does not bore. The study covers 98 participants and is complete.
Why it matters
If an approachable robot can encourage participation in health education children find boring, it could become a new form of pediatric self-management support. Confirming acceptability and real-world feasibility before chasing efficacy is a sound way to introduce robots/AI into care (this study evaluates feasibility and acceptability, not symptom improvement).
FAQ
Is this a study that treats asthma with a robot?
Why evaluate the number of technical issues?
Sources (primary)
Source: ClinicalTrials.gov (U.S. NIH/NLM, public domain). This site does not provide medical advice. Verify the latest and exact details with the official source. This site is not endorsed or certified by the NIH/NLM.
- ClinicalTrials.gov (study record, original)
- NCT ID: NCT07387718