Socially assistive robots' deployment in healthcare settings: a global perspective

TL;DR

This paper maps the global deployment of socially assistive robots in healthcare, detailing their functions, settings, and manufacturers to provide a comprehensive overview of their current use in real-world scenarios.

Contribution

It offers the first extensive classification and analysis of 279 SAR deployment experiences across various healthcare settings worldwide.

Findings

SARs perform diverse functions like entertainment, monitoring, and therapy.

They are deployed in hospitals, elderly care, homes, and educational institutions.

Multiple robot models and manufacturers are involved in these deployments.

Abstract

One of the major areas where social robots are finding their place in society is for healthcare-related applications. Yet, very little research has mapped the deployment of socially assistive robots (SARs) in real settings. Using a documentary research method, we were able to trace back 279 experiences of SARs deployments in hospitals, elderly care centers, occupational health centers, private homes, and educational institutions worldwide from 33 different countries, and involving 52 different robot models. We retrieved, analyzed, and classified the functions that SARs develop in these experiences, the areas in which they are deployed, the principal manufacturers, and the robot models that are being adopted. The functions we identified for SARs are entertainment, companionship, telepresence, edutainment, providing general and personalized information or advice, monitoring, promotion of physical exercise and rehabilitation, testing and pre-diagnosis, delivering supplies, patient registration, giving location indications, patient simulator, protective measure enforcement, medication and well-being adherence, translating and having conversations in multiple languages, psychological therapy, patrolling, interacting with digital devices, and disinfection. Our work provides an in-depth picture of the current state of the art of SARs' deployment in real scenarios for healthcare-related applications and contributes to understanding better the role of these machines in the healthcare sector.