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Adaptive Human–Machine Interface Supporting Operator’s Cognitive Activity in Process Control Systems

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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 822))

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Abstract

The article covers the issue of information arrangement and presentation in a human–machine interface (HMI) for monitoring and control of complex process systems. Experience shows that there is no universal interface equally efficient in all cases. The article describes the concept of a multi-layered interface with three layers – system, analytical and functional. The same process information may be presented differently in these layers. Each layer is designed to support a certain type of an operator’s cognitive activity: the system layer is meant for control support, the analytical layer – for assistance in the assessment and prediction of situation development, the functional layer – for the support of supervisory activities. Depending on the situation, each layer may be visible, semi-transparent or transparent (disabled). The multi-layered adaptive interface is described with the example of a VDU format for monitoring and control of a coolant circulation loop at a nuclear power plant.

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Correspondence to Alexey Anokhin .

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Anokhin, A., Chernyaev, A. (2019). Adaptive Human–Machine Interface Supporting Operator’s Cognitive Activity in Process Control Systems. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-319-96077-7_80

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