| Title |
Robot deployment in long-term care
|
|---|---|
| Published in |
Zeitschrift für Gerontologie und Geriatrie, June 2016
|
| DOI | 10.1007/s00391-016-1065-6 |
| Pubmed ID | |
| Authors |
K. Gerling, D. Hebesberger, C. Dondrup, T. Körtner, M. Hanheide |
| Abstract |
Healthcare systems in industrialized countries face the challenge of providing care for a growing number of elderly people. Information technology has the possibility of facilitating this process by providing support for nursing staff and improving the well-being of the elderly through a variety of support systems. Little is known about the challenges that arise from the deployment of technology in care settings; however, the integration of technology into care is one of the core determinants of successful support. This article presents the challenges and options associated with the integration of technology into care using the example of a mobile robot to support physiotherapy for elderly people with cognitive impairment in the European project Spatio-Temporal Representations and Activities for Cognitive Control in Long-Term Scenarios (STRANDS). This article presents the technical challenges associated with the introduction of robots in the context of care as well as the perspectives of physiotherapists involved and an overview of information and experiences gained. It is hoped that this will provide useful information for the work of researchers and practitioners wishing to integrate robotic aids into the caregiving process. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 16% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 15 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 16% |
| Social Sciences | 4 | 11% |
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 16 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2020.
All research outputs
#6,107,310
of 24,226,848 outputs
Outputs from Zeitschrift für Gerontologie und Geriatrie
#91
of 356 outputs
Outputs of similar age
#94,195
of 345,222 outputs
Outputs of similar age from Zeitschrift für Gerontologie und Geriatrie
#5
of 10 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 356 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,222 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.