Abstract：
The objective of this research was to develop a reproducible method of integrating human patterns of qualitative coding with machine learning. The application of qualitative codes from the technology-induced error and safety literatures to the analysis of incident reports was done successfully, helping to identify the factors that lead to an error as well as the errors themselves. The method described in this paper may provide additional insights into understanding technology-induced errors.
摘要：
这项研究的目的是开发一种可重复的方法，将定性编码的人类模式与机器学习相结合。成功地将技术引发的错误和安全文献中的定性代码应用于事件报告的分析，帮助识别导致错误的因素以及错误本身。本文描述的方法可以为理解技术引起的错误提供更多的见解。
