Socially Assistive Robots in Elderly Care: A Mixed-Method Systematic Literature Review
| Autor: | Reza Kachouie, Mei-Tai Chu, Rajiv Khosla, Sima Sedighadeli |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
education.field_of_study
business.industry fungi Population Applied psychology Psychological intervention Elderly care Human factors and ergonomics Human Factors and Ergonomics Computer Science Applications body regions Human-Computer Interaction Systematic review Health care Assistive robot business education Developed country |
| Zdroj: | International Journal of Human-Computer Interaction. 30:369-393 |
| ISSN: | 1532-7590 1044-7318 |
| DOI: | 10.1080/10447318.2013.873278 |
| Popis: | 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... |
| Databáze: | OpenAIRE |
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