DocumentCode
3706418
Title
Input methods for the Borg-RPE-scale on smartwatches
Author
Janko Timmermann;Wilko Heuten;Susanne Boll
Author_Institution
OFFIS - Institute for Information Technology, Oldenburg, Germany
fYear
2015
fDate
5/1/2015 12:00:00 AM
Firstpage
80
Lastpage
83
Abstract
The assessment of the perceived exertion during physical activity can be a valuable addition to a healthy training. Modern smartwatches provide a good opportunity to asses the perceived exertion, but entering information is quite challenging due to the very small displays. In this paper, we present an evaluation of five different input methods for entering the perceived exertion on the Borg-RPE scale on smartwatches. Our evaluation shows that speech input is inappropriate for entering the rating while using ranges is promising.
Keywords
"Speech","Androids","Humanoid robots","Training","Keyboards","Usability","Smart phones"
Publisher
ieee
Conference_Titel
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2015 9th International Conference on
Print_ISBN
978-1-63190-045-7
Electronic_ISBN
2153-1641
Type
conf
DOI
10.4108/icst.pervasivehealth.2015.259220
Filename
7349381
Link To Document