ew 15(6): e3

Research Article

Input Methods for the Borg-RPE-Scale on Smartwatches

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  • @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
Janko Timmermann1,*, Wilko Heuten1, Susanne Boll2
  • 1: OFFIS - Institute for Information Technology
  • 2: University of Oldenburg
*Contact email: janko.timmermann@offis.de

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
perceived exertion, borg-rpe-scale, smartwatch, android wear, input
Published
2015-08-03
Publisher
EAI
http://dx.doi.org/10.4108/icst.pervasivehealth.2015.259220

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.