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The Analysis Method of Visual Information Searching in the Human-Computer Interactive Process of Intelligent Control System

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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 827))

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Abstract

As the back-end of system operation, visual information presentation of intelligent control system has become an important means and operation basis for people (operators) to obtain information, make inference and evaluate decision. The rational design of intelligent control system plays an important role in maintaining the safety and stability of production and operation in large enterprises. This paper presents the analysis method of visual information searching in intelligent control system. On the premise of visualization structure analysis of complex network information, taking reliability analysis of operator information searching as key point and main line, through studying characterization of information graphic elements relationship, information multi-dimensional attributes, information layouts and coding rules in information interactive interface, this paper establishes visual cognitive model of information structure which made information interaction more efficiently.

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Acknowledgement

This work was supported by Science and technology projects of Changzhou (CE20175032), Jiangsu Province Key Project of philosophy and the social sciences(2017ZDIXM023), the National Nature Science Foundation of China (Grant No. 71601068, 61603123), Overseas research project of Jiangsu Province (2017), Outstanding Young Scholars Joint Funds of Chinese Ergonomics Society- King Far (No. 2017-05), and Fundamental Research Funds for the Central Universities (Grant No. 2015B22714).

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Correspondence to Xiaoli Wu .

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Wu, X., Gedeon, T., Wang, L. (2019). The Analysis Method of Visual Information Searching in the Human-Computer Interactive Process of Intelligent Control System. 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 827. Springer, Cham. https://doi.org/10.1007/978-3-319-96059-3_8

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