Abstract
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.
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Suwabe, K., Maegawa, T., Mizumoto, T., Suwa, H., & Yasumoto, K. (2024). Work Attitude Personal Life Record Collection Platform: A Framework for Daily Mental Health Monitoring of Workers. Sensors and Materials, 36(10), 4535–4548. https://doi.org/10.18494/SAM5216
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