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As automation shifts towards human-centric paradigms under Industry 5.0, the ability to objectively assess human physiological and psychological states becomes vital for safe and effective human-machine cooperation. This paper presents the development and integration of two embedded measurement systems: the Human Measurement Device (HMD) and the Stress Inducing Device (SID). The HMD is a modular, real-time physiological data acquisition platform designed for continuous monitoring of key human indicators such as heart rate variability, electrodermal activity, respiration, and foot pressure. Complementing this, the SID elicits controlled stress responses via gamified cognitive tasks, enabling systematic data generation. Together, these tools facilitate synchronized, high-fidelity analysis of human reactions in dynamic, automated environments. Initially applied within automated driving scenarios to assess trust and comfort, the systems are extensible to broader Industry 5.0 applications, including human-robot collaboration and user interface design. The work contributes a scalable, objective methodology for real-time human state assessment, supporting improved safety, performance, and acceptance in human-in-the-loop systems.

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Human Factors Assessment for Industry 5.0: Design and Implementation of a Human Measurement Device and Stress Inducing Device

  • 会议论文

  • 发表日期：

    2026年

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  • Georg Macher,
  • Thomas Brunner,
  • Omar Veledar

摘要

As automation shifts towards human-centric paradigms under Industry 5.0, the ability to objectively assess human physiological and psychological states becomes vital for safe and effective human-machine cooperation. This paper presents the development and integration of two embedded measurement systems: the Human Measurement Device (HMD) and the Stress Inducing Device (SID). The HMD is a modular, real-time physiological data acquisition platform designed for continuous monitoring of key human indicators such as heart rate variability, electrodermal activity, respiration, and foot pressure. Complementing this, the SID elicits controlled stress responses via gamified cognitive tasks, enabling systematic data generation. Together, these tools facilitate synchronized, high-fidelity analysis of human reactions in dynamic, automated environments. Initially applied within automated driving scenarios to assess trust and comfort, the systems are extensible to broader Industry 5.0 applications, including human-robot collaboration and user interface design. The work contributes a scalable, objective methodology for real-time human state assessment, supporting improved safety, performance, and acceptance in human-in-the-loop systems.