Assessment of personal care and medical robots from older adults' perspective

Goher, K M, Mansouri, N and Fadlallah, S O (2017). Assessment of personal care and medical robots from older adults' perspective. Robotics and biomimetics, 4 (1), p. 5.

Abstract

Demographic reports indicate that population of older adults is growing significantly over the world and in particular in developed nations. Consequently, there are a noticeable number of demands for certain services such as health-care systems and assistive medical robots and devices. In today's world, different types of robots play substantial roles specifically in medical sector to facilitate human life, especially older adults. Assistive medical robots and devices are created in various designs to fulfill specific needs of older adults. Though medical robots are utilized widely by senior citizens, it is dramatic to find out into what extent assistive robots satisfy their needs and expectations. This paper reviews various assessments of assistive medical robots from older adults' perspectives with the purpose of identifying senior citizen's needs, expectations, and preferences. On the other hand, these kinds of assessments inform robot designers, developers, and programmers to come up with robots fulfilling elderly's needs while improving their life quality.

Publication DOI: https://doi.org/10.1186/s40638-017-0061-7
Divisions: Life & Health Sciences
Additional Information: © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funding: Lincoln University, New Zealand
Uncontrolled Keywords: Assistive medical robots,Assistive walking devices ,ICT ,Older adults’ needs assessment,Robot assessment
Published Date: 2017-09-20
Authors: Goher, K M
Mansouri, N
Fadlallah, S O

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