2024
DOI: 10.3390/app14041564
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Machine Learning-Supported Designing of Human–Machine Interfaces

László Bántay,
János Abonyi

Abstract: The design and functionality of the human–machine interface (HMI) significantly affects operational efficiency and safety related to process control. Alarm management techniques consider the cognitive model of operators, but mainly only from a signal perception point of view. To develop a human-centric alarm management system, the construction of an easy-to-use and supportive HMI is essential. This work suggests a development method that uses machine learning (ML) tools. The key idea is that more supportive hi… Show more

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Cited by 2 publications
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