Reasoning about human error by modeling cognition and interaction

Ann BLANDFORD, Jonathan BACK, Paul CURZON, Yau Wai, Simon LI, Rimvydas RUKSENAS

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Abstract

In this paper we focus on system resilience from the perspective of understanding human error. In particular, we consider systematic cognitive slips, including post-completion errors, which are persistent, though infrequent. We outline the findings from empirical studies that have identified various factors that provoke or mitigate against such errors. We then describe approaches we are pursuing to encapsulate these insights in ways that can be re-used within system design. More broadly, we argue that an understanding of the factors that influence the likelihood of such errors can support organizations in designing systems and processes to minimize the likelihood of such errors.
Original languageEnglish
Title of host publicationProceedings of the second resilience engineering symposium
Publisherles presses
Pages36-43
Number of pages8
ISBN (Print)9782911762772
Publication statusPublished - 1 Jan 2006
Externally publishedYes

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BLANDFORD, A., BACK, J., CURZON, P., LI, Y. W. S., & RUKSENAS, R. (2006). Reasoning about human error by modeling cognition and interaction. In Proceedings of the second resilience engineering symposium (pp. 36-43). les presses.