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 :
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