Research Article
Input Methods for the Borg-RPE-Scale on Smartwatches
@ARTICLE{10.4108/icst.pervasivehealth.2015.259220, author={Janko Timmermann and Wilko Heuten and Susanne Boll}, title={Input Methods for the Borg-RPE-Scale on Smartwatches}, journal={EAI Endorsed Transactions on Energy Web}, volume={2}, number={6}, publisher={EAI}, journal_a={EW}, year={2015}, month={8}, keywords={perceived exertion, borg-rpe-scale, smartwatch, android wear, input}, doi={10.4108/icst.pervasivehealth.2015.259220} }- Janko Timmermann
Wilko Heuten
Susanne Boll
Year: 2015
Input Methods for the Borg-RPE-Scale on Smartwatches
EW
EAI
DOI: 10.4108/icst.pervasivehealth.2015.259220
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.
Copyright © 2015 J. Timmermann al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
