← Collaboration · 20 readings

Parenting Journal · Volume 2 · Issue 5 · Licensed source edition

Bringing a socially assistive robot to the paediatric emergency department: design, development, and usability testing

Originally published 2025-10-30 · Frontiers in Robotics and AI
Frontiers Media SA · DOI 10.3389/frobt.2025.1614444 ↗

CollaborationIterative clinical co-design, development, and formative usability studyCC BY 4.0
Ask this paper · Find source passages →

AI / system type

Hybrid AI-planned socially assistive robot with substantial human operator control; not an LLM

Direct parenting evidence

Directly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.

The AI connection

The NAO system combined AI planning and social-signal processing with a clinician/researcher web interface and operator overrides.

Why this reading matters

Useful for recognizing parent and child input as part of clinical technology design and for asking who controls an intervention at a stressful moment.

Editorial reading guide · Collaboration

What should parents, children, and clinicians be able to change or stop when a robot is used during care?

Makes collaboration visible in the work needed to bring an AI-enabled robot into a real procedure. Families and clinicians exposed failures in timing, stopping, camera responsiveness, and language around IV insertion; subsequent iterations simplified control and adapted activities. Positive usability feedback is reported separately from clinical pain/anxiety effectiveness, which this report did not establish.

Study context

Children and caregivers in two Canadian pediatric emergency departments, including 25 child–caregiver usability encounters, with clinicians and a multidisciplinary design team

Age / stage: Pediatric emergency-department patients; age range not clearly specified in this design report

Read with three questions

  1. Which problems emerged only when the robot met the pace and interruptions of an actual procedure?
  2. How did child/caregiver feedback change timing, wording, activities, or operator control?
  3. What further evidence would be needed before claiming less pain or anxiety?

Keep the limits in view

The two-site, two-cycle formative work involved a limited sample and a changing system. Operator involvement and evolving autonomy mean outcomes cannot be credited to autonomous AI planning. Clinical efficacy analyses were not supplied here; design acceptability and successful deployment do not demonstrate pain reduction or safety across patients.

The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.

Opening the verified paper and agent…

Checking the article identity, license record, and saved source text.

Open the repository record

Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Mary Ellen Foster; Jennifer N Stinson; Lauren Harris; Kate Kyuri Kim; Sasha Litwin; Patricia Candelaria; Summer Hudson; Julie Leung; Ronald P A Petrick; Alan Lindsay; Andrés Ramírez-Duque; David Harris Smith; Frauke Zeller; Samina Ali (2025). Bringing a socially assistive robot to the paediatric emergency department: design, development, and usability testing Frontiers in Robotics and AI. https://doi.org/10.3389/frobt.2025.1614444

Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.