Breaking up Long Sedentary Periods of Office Workers through a Virtual Coach using Activity Data

Jasmijn Franke, Jasmijn Franke, Christiane Grünloh, Christiane Grünloh, Dennis Hofs, Boris Van Schooten, Andreea Bondrea, Miriam Cabrita, Miriam Cabrita, Miriam Cabrita

2021

Abstract

Office workers often lead sedentary lifestyles, a lifestyle responsible for higher risks of cardiovascular disease, stroke, diabetes and premature mortality. Improvements towards a more active lifestyle reduce cardiovascular risks and thus changing the sedentary lifestyle might prevent chronic illness. The Recurring Sedentary Period Detection (RSPD) algorithm described in this paper was designed to identify recurring sedentary periods using data from an activity tracker, summarise the sedentary periods and pinpoint notification times at which the user should be motivated to get some movement. The outcome of the RSPD algorithm was validated using data from a 10-week period of one typical office worker. Our results show that the RSPD algorithm could correctly identify the recurring sedentary periods, compute fitting daily summaries and pinpoint the notification times correctly. With minor differences, the RSPD algorithm was successfully implemented in the healthyMe smartphone application, one of the supporting services of the SMARTWORK project. Within the healthyMe application, an embodied virtual agent is used to communicate the daily summaries and motivate the user to move more at the identified notification times. Pilots planned as part of the SMARTWORK project will evaluate whether the RSPD algorithm helps to motivate office workers to break up sedentary periods.

Paper Citation

in Harvard Style

Franke J., Grünloh C., Hofs D., Van Schooten B., Bondrea A. and Cabrita M. (2021). Breaking up Long Sedentary Periods of Office Workers through a Virtual Coach using Activity Data. In Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork; ISBN 978-989-758-534-0, SciTePress, pages 389-397. DOI: 10.5220/0010721100003063

in Bibtex Style

@conference{smartwork21,
author={Jasmijn Franke and Christiane Grünloh and Dennis Hofs and Boris Van Schooten and Andreea Bondrea and Miriam Cabrita},
title={Breaking up Long Sedentary Periods of Office Workers through a Virtual Coach using Activity Data},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork},
year={2021},
pages={389-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010721100003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork
TI - Breaking up Long Sedentary Periods of Office Workers through a Virtual Coach using Activity Data
SN - 978-989-758-534-0
AU - Franke J.
AU - Grünloh C.
AU - Hofs D.
AU - Van Schooten B.
AU - Bondrea A.
AU - Cabrita M.
PY - 2021
SP - 389
EP - 397
DO - 10.5220/0010721100003063
PB - SciTePress