| Title |
Thumb performance of elderly users on smartphone touchscreen
|
|---|---|
| Published in |
SpringerPlus, July 2016
|
| DOI | 10.1186/s40064-016-2877-y |
| Pubmed ID | |
| Authors |
Jinghong Xiong, Satoshi Muraki |
| Abstract |
This study investigated the relationship between thumb muscle activity and thumb operating tasks on a smartphone touchscreen in elderly users (right hand posture). Three thumb muscles were targeted in the experiment, namely, abductor pollicis brevis, abductor pollicis longus (APL) and first dorsal interosseous (FDI). The results showed that the elderly participants developed fatigue rapidly and tapped more slowly when operating on smaller buttons (diameter 3.0 mm compared with 9.0 mm) and moving in the flexion-extension (compared with adduction-abduction) orientation. Meanwhile, electromyography and perceived exertion evaluation revealed significant increases in FDI in the small button task, and results for APL were significantly greater in the flexion-extension task. This study suggests that the use of small touch-buttons and flexion-extension movement should be minimised in the handheld touchscreen interface design for elderly users. |
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 % |
|---|---|---|
| United States | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 21% |
| Student > Master | 8 | 17% |
| Student > Ph. D. Student | 5 | 11% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 7 | 15% |
| Computer Science | 5 | 11% |
| Social Sciences | 4 | 9% |
| Engineering | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Other | 10 | 21% |
| Unknown | 13 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 21 July 2022.
All research outputs
#616,320
of 22,896,955 outputs
Outputs from SpringerPlus
#22
of 1,850 outputs
Outputs of similar age
#13,761
of 365,468 outputs
Outputs of similar age from SpringerPlus
#6
of 247 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 98% 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 365,468 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.