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Socially assistive robots in elderly care: a mixed-method systematic literature review

Version 2 2024-06-04, 09:28
Version 1 2018-02-05, 16:27
journal contribution
posted on 2024-06-04, 09:28 authored by Reza KachouieReza Kachouie, S Sedighadeli, R Khosla, MT Chu
The world's population is aging, and developed countries are engaged in developing a new aged-care paradigm to reduce spiraling healthcare costs. Assistive technologies like Socially Assistive Robots (SAR) are being considered as enablers to support the process of care giving or keep elderly at home longer. This article reports a mixed-method systematic review of SAR in elderly care and recognizes its impact on elderly well-being, integrating evidence from qualitative and quantitative studies. It follows the principles explained in Cochrane Handboo k for Systematic Reviews of Interventions and classifies interventions, measures, and outcomes of field trials of SAR in elderly care. Eighty-six studies in 37 study groups have been included. The findings imply positive effects of SAR on elderly well-being. Ten significant recommendations are made to help avoid the current limitations of existing research and to improve future research and its applicability. This review revealed that SAR can potentially enhance elderly well-being and decrease the workload on caregivers. There is a need for rigorous research methodology, person-centered care, caregiver expectation model, multimodal interaction, multimodal data collection, and modeling of culturally diverse groups to facilitate acceptability of SAR.

History

Journal

International journal of human-computer interaction

Volume

30

Pagination

369-393

Location

Abingdon, Eng.

ISSN

1044-7318

eISSN

1532-7590

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal, C Journal article

Copyright notice

2014, Taylor & Francis Group, LLC

Issue

5

Publisher

Taylor & Francis

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