# Adapting a General Purpose Social Robot for Paediatric Rehabilitation   through In-situ Design

**Authors:** Felip Mart\'i (1, 2), Jo Butchart (3, 4), Sarah Knight (4 and, 3), Adam Scheinberg (3, 4), Lisa Wise (1), Leon Sterling (1), Chris, McCarthy (1) ((1) Swinburne University of Technology, (2) Data61 CSIRO, (3), Royal Children's Hospital, (4) Murdoch Childrens Research Institute)

arXiv: 1705.05142 · 2018-03-09

## TL;DR

This paper presents an in-situ design methodology for adapting social robots in paediatric rehabilitation, emphasizing stakeholder engagement and on-site development, demonstrated through clinical testing with children with cerebral palsy.

## Contribution

It introduces a two-phase in-situ design process for social assistive robots in healthcare, highlighting stakeholder involvement and rapid deployment in clinical settings.

## Key findings

- Successful deployment of the robot in clinical sessions
- Positive preliminary feedback from patients and therapists
- Effective adaptation of the robot for individual needs

## Abstract

Socially Assistive Robots (SARs) offer great promise for improving outcomes in paediatric rehabilitation. However, the design of software and interactive capabilities for SARs must be carefully considered in the context of their intended clinical use. While previous work has explored specific roles and functionalities to support paediatric rehabilitation, few have considered the design of such capabilities in the context of ongoing clinical deployment. In this paper we present a two-phase In-situ design process for SARs in health care, emphasising stakeholder engagement and on-site development. We explore this in the context of developing the humanoid social robot NAO as a socially assistive rehabilitation aid for children with cerebral palsy. We present and evaluate our design process, outcomes achieved, and preliminary results from ongoing clinical testing with 9 patients and 5 therapists over 14 sessions. We argue that our in-situ Design methodology has been central to the rapid and successful deployment of our system.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1705.05142/full.md

## Figures

46 figures with captions in the complete paper: https://tomesphere.com/paper/1705.05142/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/1705.05142/full.md

---
Source: https://tomesphere.com/paper/1705.05142