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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 36, Number 10(3) (2024)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 4535-4548
S&M3816 Research Paper of Special Issue https://doi.org/10.18494/SAM5216 Published: October 29, 2024 Work Attitude Personal Life Record Collection Platform: A Framework for Daily Mental Health Monitoring of Workers [PDF] Kai Suwabe, Takashi Maegawa, Teruhiro Mizumoto, Hirohiko Suwa, and Keiichi Yasumoto (Received July 1, 2024; Accepted August 29, 2024) Keywords: mental health monitoring, smartphone-based estimation, labor productivity, work engagement, multimodal information
Monitoring mental health is crucial for individuals at work and in other areas of life, as mental states significantly impact both health and labor productivity. Various governments in developed nations have initiated efforts to support workers’ mental health, yet traditional methods rely heavily on questionnaires and interviews, which are not feasible for daily monitoring. To address this, we propose the “Work Attitude Personal Life Record (PLR) collection platform,” designed to continuously estimate and document “work attitude” (encompassing work engagement and recovery experiences, among other factors) through multimodal information. In this paper, we outline the proposed framework and present the performance of our estimation model on the basis of data collected from preliminary experiments. The findings indicate a positive potential for the feasibility of our approach.
Corresponding author: Kai Suwabe  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Kai Suwabe, Takashi Maegawa, Teruhiro Mizumoto, Hirohiko Suwa, and Keiichi Yasumoto, Work Attitude Personal Life Record Collection Platform: A Framework for Daily Mental Health Monitoring of Workers, Sens. Mater., Vol. 36, No. 10, 2024, p. 4535-4548. |
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