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Proposal of Information Analysis System on Latent Human Error

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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

Latent Human Error information is gathered in companies, but there is a problem that it cannot be used well. The problem behind it is lack of knowledge on trouble analysis and insufficient analysis on text data. Therefore, in this research, we propose an information analysis system on latent human error. In the analysis system, the following three important elements are included. The first point is knowledge of Human Factors which is useful for trouble analysis. The second point is natural language processing technology which processes text information on trouble. The third point is statistics and DeepLearning technology using processed text information. Based on these factors, we aim to build an analysis support system that can be used by people who are not familiar with trouble analysis at the company site.

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Authors and Affiliations

  1. Graduate School of Science Technology, Keio University, Kanagawa, Japan

    Tatsuya Shimada

  2. Department of Administration Engineering, Faculty of Science and Technology, Keio University, Kanagawa, Japan

    Riku Tsunori, Kasumi Koike & Yusaku Okada

Authors
  1. Tatsuya Shimada
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  2. Riku Tsunori
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  3. Kasumi Koike
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  4. Yusaku Okada
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Corresponding author

Correspondence to Tatsuya Shimada .

Editor information

Editors and Affiliations

  1. Idaho National Laboratory, Idaho Falls, ID, USA

    Ronald L. Boring

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Shimada, T., Tsunori, R., Koike, K., Okada, Y. (2020). Proposal of Information Analysis System on Latent Human Error. 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_24

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  • DOI: https://doi.org/10.1007/978-3-030-20037-4_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20036-7

  • Online ISBN: 978-3-030-20037-4

  • eBook Packages: EngineeringEngineering (R0)

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