Data collection and analysis for the PLR collection platform for

Abstract

Japanese labor productivity is the lowest in the seven advanced countries(G7) despite the fact that many people are working such long hours with stress as to cause industrial accidents such as mental illness and suicide. Therefore, workstyle reforms that improve productivity while maintaining mental health are urgently needed. In the work style reform, health management based on "Work Attitude" such as stress, work engagement, and workaholism is essential, and it is advisable to measure daily Work Attitude in order to be able to detect the sign of the industrial accident quickly. However, the conventional Work Attitude measurement methods are based on a questionnaire once a year, and then they are not suitable for monitoring. Therefore, in this study, we develop Work Attitude PLR (Personal Life Record) collection platform that continuously measures and records Work Attitude that used to be measured only sporadically based on subjective questionnaires, using multimodal information. In this presentation, I describe the data collection experiments we conducted and their analysis for the construction of the proposed Work Attitude PLR collection platform.