Development of An Extremely Low Frequency Human Error Assessment Technology for Digital Devices and Its Applications to the Nuclear Fields

The introduction of an advanced Main Control Room (MCR) is accompanied with lots of changes and different forms and features through the virtue of new digital technologies. The characteristics of these digital technologies and devices give many opportunities to the interface management, and can be integrated into a compact single workstation in an advanced MCR so that workers can operate the plant with minimum burden under any operation condition. However, these devices may introduce new types of human errors, and thus we need a means to evaluate and prevent such errors, especially those related to digital devices. This research introduces a physiological measurement as a predictive measure based on HEA-BIS (Human Error Analysis based on Interaction Segment) to confirm and detect human errors with new digital devices. This predictive technique and experimental verification method can be used to ensure the safety to apply the digital devices in Nuclear Power Plants (NPPs)