Impact of Conversational Approaches in Pediatric Social Robot-Mediated Interventions

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Conditions studied: Pediatric Patients, Pediatric Patients in Hospital Settings, Hospitalized Children

In brief

This study examines how different robot dialogue systems (rule-based vs. large language model-based) and content types (emotional support vs. safety education) affect pediatric patients' responses during hospital-based robot-mediated interventions. Approximately 60 pediatric patients aged 2-9 years will be randomly assigned to interact with a social robot (LIKU) using either rule-based or LLM-based dialogue. Each child will participate in two activity sessions (emotional content and safety content) in randomized order. Primary outcomes include child engagement, emotional responses, robot perception, and activity preferences, assessed through standardized questionnaires (UEQ, Godspeed), child interviews, and behavioral observations. Additionally, 5 experts will evaluate content appropriateness and safety. This pilot study aims to provide foundational data for developing personalized pediatric robot programs in hospital settings, optimizing both dialogue approaches and content design based on individual child characteristics.

Key facts

Study ID
NCT07389902
Run by
Samsung Medical Center
People needed
60
Starts
2026-02-09
Expected to finish
2027-07-30
Last updated by the study team
2026-02-05

Who can join

Age: 2 and older, up to 9. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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