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Investigating Collective Mindfulness in Mining: A Prospective Study in High-Reliability Organizations Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Proposal of Information Analysis System on Latent Human Error

Authors : Tatsuya Shimada, Riku Tsunori, Kasumi Koike, Yusaku Okada

Published in: Advances in Human Error, Reliability, Resilience, and Performance

Publisher: Springer International Publishing

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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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previous chapter Linguistic Approach to Support Human Reliability Analysis and Validation Work in Advanced Radiotherapy Technologies
next chapter Mining Human Error Incident Patterns with Text Classification
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Metadata
Title
Proposal of Information Analysis System on Latent Human Error
Authors
Tatsuya Shimada
Riku Tsunori
Kasumi Koike
Yusaku Okada
Copyright Year
2020
Book
Advances in Human Error, Reliability, Resilience, and Performance

Print ISBN: 978-3-030-20036-7

Electronic ISBN: 978-3-030-20037-4

Copyright Year: 2020

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