Name
Abstract | ||
|---|---|---|
We demonstrate a mobile dictation application utilizing automatic speech recognition for healthcare professionals. Development was done in close collaboration between human-technology interaction and nursing science researchers and professionals working in the area. Our work was motivated by the need for improvements in getting spoken patient information to the next treatment steps without additional steps. In addition, we wanted to enable truly mobile spoken information entry, i.e., dictation can take place on the spot. In order to study the applicability we conducted a small-scale Wizard-of-Oz evaluation in a real hospital environment with real nurses. Our main focus was to gather subjective expectations and experiences from the actual nurses themselves. The results show true potential for our mobile dictation application and its further development. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2541831.2541880 | MUM |
Keywords | Field | DocType |
close collaboration,automatic speech recognition,actual nurse,patient information,real hospital environment,information entry,real nurse,additional step,healthcare professional,mobile dictation application,mobile interaction,speech recognition,evaluation,user experience | Health care,User experience design,User expectations,Computer science,Dictation,Human–computer interaction,Mobile interaction,Multimedia | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tuuli Keskinen | 1 | 63 | 11.71 |
| Aleksi Melto | 2 | 78 | 7.78 |
| Jaakko Hakulinen | 3 | 334 | 44.95 |
| Markku Turunen | 4 | 484 | 67.09 |
| Santeri Saarinen | 5 | 11 | 2.99 |
| Tamás Pallos | 6 | 4 | 0.76 |
| Pekka Kallioniemi | 7 | 15 | 5.83 |
| Riitta Danielsson-Ojala | 8 | 16 | 3.07 |
| Sanna Salanterä | 9 | 151 | 21.92 |