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Understanding Human Error Based on Automated Analyses

Published by Dashlink | National Aeronautics and Space Administration | Metadata Last Checked: October 28, 2025 | Last Modified: 2025-03-31
This is a report on a continuing study of automated analyses of experiential textual reports to gain insight into the causal factors of human errors in aviation operations. The intent of this research is to better understand the quantitative and qualitative attributes of an aviation incident, and to identify the respective contributions of their interaction to incident occurrence.

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