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

Reza Kachouie, Sima Sedighadeli, Rajiv Khosla, Mei Tai Chu

Research output: Contribution to journalArticleResearchpeer-review

123 Citations (Scopus)

Abstract

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 Handbook 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.

Original languageEnglish
Pages (from-to)369-393
Number of pages25
JournalInternational Journal of Human-Computer Interaction
Volume30
Issue number5
DOIs
Publication statusPublished - 2014

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