Socially Assistive Robots’ Deployment in Healthcare Settings: A Global Perspective

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. By using a documentary research method, we traced back 279 experiences of SA...

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Published inInternational journal of HR : humanoid robotics Vol. 20; no. 1
Main Authors Aymerich-Franch, Laura, Ferrer, Iliana
Format Journal Article
LanguageEnglish
Published Singapore World Scientific Publishing Company 01.02.2023
World Scientific Publishing Co. Pte., Ltd
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ISSN0219-8436
1793-6942
DOI10.1142/S0219843623500020

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Summary: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. By using a documentary research method, we traced back 279 experiences of SARs deployments in hospitals, elderly care centers, occupational health centers, private homes, and educational institutions worldwide that involved 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.
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ISSN:0219-8436
1793-6942
DOI:10.1142/S0219843623500020