Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11253, first published .
Understanding Youths’ Ability to Interpret 3D-Printed Physical Activity Data and Identify Associated Intensity Levels: Mixed-Methods Study

Understanding Youths’ Ability to Interpret 3D-Printed Physical Activity Data and Identify Associated Intensity Levels: Mixed-Methods Study

Understanding Youths’ Ability to Interpret 3D-Printed Physical Activity Data and Identify Associated Intensity Levels: Mixed-Methods Study

Sam Graeme Morgan Crossley   1 * , BSc, PhD ;   Melitta Anne McNarry   1 * , BSc, PhD ;   Michael Rosenberg   2 , BAppSc, DipEd, MPH, PhD ;   Zoe R Knowles   3 * , HCPC, PhD ;   Parisa Eslambolchilar   4 , BEng, MEng, PhD ;   Kelly Alexandra Mackintosh   1 * , BSc, MSc, PhD

1 Applied Sports Science Technology and Medicine Research Centre (A-STEM), Swansea University, Swansea, United Kingdom

2 School of Human Sciences, The University of Western Australia, Crawley, Australia

3 Physical Activity Exchange, School of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom

4 School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Sam Graeme Morgan Crossley, BSc, PhD
  • Applied Sports Science Technology and Medicine Research Centre (A-STEM)
  • Swansea University
  • Swansea University Bay Campus, Engineering East Building
  • Swansea, SA1 8EN
  • United Kingdom
  • Phone: 44 07707470931
  • Email: 557947@swansea.ac.uk