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Optimization of Information Interaction Interface Based on Error-Cognition Mechanism

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 956))

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Abstract

This paper proposed a framework called the “Error-Cognition-Design”, which studies the association between error factors, visual cognition and design information. We can combine extended operator’s cognitive behavior model with corresponding analytical model of error recognition, and further recognize the cognitive error of the interfacial task. According to the process of operator’s cognitive behavior, operator’s task, task function as well as task steps and structure are unfolded, corresponding with the analytical opinion of human reliability, which includes task analysis, objection analysis, operation analysis, planning analysis, error analysis, psychological error mechanism analysis, performance shaping factor analysis as well as human error identification in systems tool analysis. Based on the results, we proposed an optimization design scheme for the monitoring task interface. According to the reaction chain of error factors and information features, the avionics interface display can be optimized via the information symbols design and the information block layout.

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Acknowledgements

This work was supported by Jiangsu Province Key Project of philosophy and the social sciences (2017ZDIXM023), Jiangsu Province Nature Science Foundation of China (BK20181159, BK20170304), the National Nature Science Foundation of China (Grant No. 71601068, 61603123, 61703140), Science and technology projects of Changzhou (CE20175032), Outstanding Young Scholars Joint Funds of Chinese Ergonomics Society- King Far (No. 2017-05), Overseas research project of Jiangsu Province (2017), and Fundamental Research Funds for the Central Universities (Grant No. 2015B22714).

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Wu, X. et al. (2020). Optimization of Information Interaction Interface Based on Error-Cognition Mechanism. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2019. Advances in Intelligent Systems and Computing, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-20037-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-20037-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20036-7

  • Online ISBN: 978-3-030-20037-4

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