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Attention Score in Context
| Title |
Powered wheelchair simulator development: implementing combined navigation-reaching tasks with a 3D hand motion controller
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, January 2016
|
| DOI | 10.1186/s12984-016-0112-2 |
| Pubmed ID | |
| Authors |
Gordon Tao, Philippe S. Archambault |
| Abstract |
Powered wheelchair (PW) training involving combined navigation and reaching is often limited or unfeasible. Virtual reality (VR) simulators offer a feasible alternative for rehabilitation training either at home or in a clinical setting. This study evaluated a low-cost magnetic-based hand motion controller as an interface for reaching tasks within the McGill Immersive Wheelchair (miWe) simulator. Twelve experienced PW users performed three navigation-reaching tasks in the real world (RW) and in VR: working at a desk, using an elevator, and opening a door. The sense of presence in VR was assessed using the iGroup Presence Questionnaire (IPQ). We determined concordance of task performance in VR with that in the RW. A video task analysis was performed to analyse task behaviours. Compared to previous miWe data, IPQ scores were greater in the involvement domain (p < 0.05). Task analysis showed most of navigation and reaching behaviours as having moderate to excellent (K > 0.4, Cohen's Kappa) agreement between the two environments, but greater (p < 0.05) risk of collisions and reaching errors in VR. VR performance demonstrated longer (p < 0.05) task times and more discreet movements for the elevator and desk tasks but not the door task. Task performance showed poorer kinematic performance in VR than RW but similar strategies. Therefore, the reaching component represents a promising addition to the miWe training simulator, though some limitations must be addressed in future development. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 91 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 18% |
| Student > Ph. D. Student | 14 | 15% |
| Researcher | 9 | 10% |
| Student > Doctoral Student | 9 | 10% |
| Student > Bachelor | 6 | 7% |
| Other | 17 | 18% |
| Unknown | 20 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 26 | 28% |
| Nursing and Health Professions | 15 | 16% |
| Medicine and Dentistry | 9 | 10% |
| Computer Science | 6 | 7% |
| Psychology | 5 | 5% |
| Other | 8 | 9% |
| Unknown | 23 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 January 2016.
All research outputs
#18,436,183
of 22,840,638 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#984
of 1,279 outputs
Outputs of similar age
#285,308
of 394,468 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#23
of 26 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 394,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.