Designing socially assistive robots for Alzheimer’s disease and related dementia patients and their caregivers: where we are and where we are headed
Author(s)
Koutentakis, Dimitrios; Pilozzi, Alexander; Huang, Xudong
Downloadhealthcare-08-00073.pdf (552.1Kb)
Publisher with Creative Commons License
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
Over the past few years there has been a large rise in the field of robotics. Robots are being in used in many industries, but there has not been a large surge of robots in the medical field, especially the robots for healthcare use. However, as the aging population keeps growing, current medical staff and healthcare providers are increasingly burdened by caring for the ever-growing number of senior patients, especially those with cognitive impairment of Alzheimer's disease (AD) and Alzheimer's disease-related dementia (ADRD) patients. As a result, we can expect to see a large increase in the field of medical robotics, especially in forms of socially assistive robots (SARs) for senior patients and healthcare providers. In fact, SARs can alleviate AD and ADRD patients and their caregivers' unmet medical needs. Herein, we propose a design outline for such a SAR, based on a review of the current literature. We believe the next generation of SARs will enhance health and well-being, reduce illness and disability, and improve quality of life for AD and ADRD patients and their caregivers. ©2020 Keywords: aging; dementia; Alzheimer’s disease; socially assistive robots
Date issued
2020-03-26Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryJournal
Healthcare
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Koutentakis, Dimitrios, Alexander Pilozzi, and Xudong Huang, "Designing socially assistive robots for Alzheimer’s disease and related dementia patients and their caregivers: where we are and where we are headed." Healthcare 8, 2 (Mar. 2020): no. 73 doi 10.3390/healthcare8020073 ©2020 Author(s)
Version: Final published version
ISSN
2227-9032