Estimating Work Engagement with Wrist-Worn Heart Rate Sensors

Haruki Harashima, Yutaka Arakawa, Shigemi Ishida, Yugo Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study aims to estimate the work engagement (WE) of office workers using biological data related to their daily activities obtained from wearable devices, with the goal of providing appropriate mental and physical health support to each individual. We collected daily heart rate data from wearable devices worn by 60 office workers in five Japanese companies for 2-3 weeks. Their daily WE was measured using the state-of the-art utrecht work engagement scale (UWES) questionnaire. We performed two types of analysis on the collected data using machine learning methods. First, the classification of binary WE levels (high or low), which showed a leave-one-person-out (LOPO) cross-validation F1 value of 0.522. Second, we classified whether WE decreased compared to the previous day, which showed a LOPO cross-validation F1 value of 0.663.

Original languageEnglish
Title of host publication13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784907626488
DOIs
Publication statusPublished - 2021
Event13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021 - Tokyo, Japan
Duration: Nov 17 2021Nov 19 2021

Publication series

Name13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021

Conference

Conference13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021
Country/TerritoryJapan
CityTokyo
Period11/17/2111/19/21

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Control and Optimization
  • Computer Networks and Communications

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