Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data

Yusuke Nishimura, Tahera Hossain, Akane Sano, Shota Isomura, Yutaka Arakawa, Sozo Inoue

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

Abstract

In recent years, many organizations have prioritized efforts to detect and treat mental health issues. In particular, office workers are affected by many stressors, and physical and mental exhaustion, which is also a social problem. To improve the psychological situation in the workplace, we need to clarify the cause. In this paper, we conducted a 14-day experiment to collect wristband sensor data as well as behavioral and psychological questionnaire data from about 100 office workers. We developed machine learning models to predict psychological indexes using the data. In addition, we analyzed the correlation between behavior (work content and work environment) and psychological state of office workers to reveal the relationship between their work content, work environment, and behavior. As a result, we showed that multiple psychological indicators of office workers can be predicted with more than 80% accuracy using wearable sensors, behavioral data, and weather data. Furthermore, we found that in the working environment, the time spent in “web conferencing”, “working at home (living room)”, and “break time (work time)’ had a significant effect on the psychological state of office workers.

Original languageEnglish
Title of host publicationSensor- and Video-Based Activity and Behavior Computing - Proceedings of 3rd International Conference on Activity and Behavior Computing ABC 2021
EditorsMd Atiqur Ahad, Sozo Inoue, Daniel Roggen, Kaori Fujinami
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-26
Number of pages26
ISBN (Print)9789811903601
DOIs
Publication statusPublished - 2022
Event3rd International Conference on Activity and Behavior Computing, ABC 2021 - Virtual, Online
Duration: Oct 22 2021Oct 23 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume291
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference3rd International Conference on Activity and Behavior Computing, ABC 2021
CityVirtual, Online
Period10/22/2110/23/21

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

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