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2024 | OriginalPaper | Buchkapitel

Experimental Study on Data Update Rate of the Display Interface of Coal Mine Intelligent Production System

verfasst von : Haokun Wu, Linhui Sun, Xiaofang Yuan, Yukun Gao

Erschienen in: Proceedings of Industrial Engineering and Management

Verlag: Springer Nature Singapore

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Abstract

Objective: The development of coal mine production construction to modernization has led to a dramatic increase in the amount of information on the display interface of the system, and the contradiction of “huge amount of information, limited display” makes the operator need to pay attention to more information display areas at the same time when facing the complex operation tasks, which reduces the reliability of the work of the human factors. This study investigates the influence of data update rate among the three factors of the human–computer interaction interface (information display rate, information provision rate, and data update rate) in the intelligent coal mine production system. Methods: In this paper, we take the data update rate of the display interface of a coal mine system as the research object, use the E-prime software to simulate the state of the display interface of the coal mine system in the real working environment, design multi-group controlled experiments, and analyze the performance of the subjects to complete the visual searching task under different data update rates (1 s, 2 s, and 3 s). Results: The experimental results showed that in a display interface with 24 changing regions, the operators’ task performance (average reaction time, number of correct mouse clicks) was best when the data update rate was 2 s. Conclusion: Changes in the data update rate affect the operator's task performance. This study provides a relevant basis for subsequent research on the design of the display interface of coal mine intelligent production systems.

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Metadaten
Titel
Experimental Study on Data Update Rate of the Display Interface of Coal Mine Intelligent Production System
verfasst von
Haokun Wu
Linhui Sun
Xiaofang Yuan
Yukun Gao
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0194-0_49

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