A Survey on Socially Assistive Robotics: Clinicians' and Patients' Perception of a Social Robot within Gait Rehabilitation Therapies.

gait rehabilitation lokomat perception physical rehabilitation social robots

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
02 Jun 2021
Historique:
received: 27 04 2021
revised: 24 05 2021
accepted: 25 05 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

A growing interest in Socially Assistive Robotics in Physical Rehabilitation is currently observed; some of the benefits highlight the capability of a social robot to support and assist rehabilitation procedures. This paper presents a perception study that aimed to evaluate clinicians' and patients' perception of a social robot that will be integrated as part of Lokomat therapy. A total of 88 participants were surveyed, employing an online questionnaire based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The participants belong to two health care institutions located in different countries (Colombia and Spain). The results showed an overall positive perception of the social robot (>60% of participants have a positive acceptance). Furthermore, a difference depending on the nature of the user (clinician vs. patient) was found.

Identifiants

pubmed: 34199393
pii: brainsci11060738
doi: 10.3390/brainsci11060738
pmc: PMC8229546
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Ministerio de Ciencia, Tecnología e Innovación (Minciencias, Colombia)
ID : 801-2017

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Auteurs

Denniss Raigoso (D)

Department of Biomedical Engineering, Colombian School of Engineering Julio Garavito, Bogota 111166, Colombia.

Nathalia Céspedes (N)

Centre for Advanced Robotics at Queen Mary University of London, Mile End Rd, Bethnal Green, London E1 4NS, UK.

Carlos A Cifuentes (CA)

Department of Biomedical Engineering, Colombian School of Engineering Julio Garavito, Bogota 111166, Colombia.

Antonio J Del-Ama (AJ)

Electronic Technology department, Rey Juan Carlos University, 28933 Móstoles, Spain.
Biomechanics and Assistive Technology Unit, National Hospital for Paraplegics, 45071 Toledo, Spain.

Marcela Múnera (M)

Department of Biomedical Engineering, Colombian School of Engineering Julio Garavito, Bogota 111166, Colombia.

Classifications MeSH