A Framework for Daily Mental Attitude Monitoring of Workers

Monitoring mental health is important for people at work, as well as in other aspects of our lives. This is because mental states affect workers’ health and labor productivity. Many governments in developed countries are working to support workers’ mental health, but previous methods are based on questionnaires and interviews, which are not suitable for daily use. Therefore, we propose "Work Attitude PLR (Personal Life Record) collection platform" that can continuously estimate and record "Work Attitude" (a composite measure of work engagement and recovery experience, etc.) using multimodal information. In this paper, we describe the framework of our proposal and show the performance of the estimation model that positively suggest the feasibility of our method.