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Errors and error recovery

Authors: Schaaf, van der, T.W.; Kanse, L.;

Errors and error recovery

Abstract

This paper highlights the positive role that human operators often play in preventing small failures and errors from developing into an actual system breakdown. The resulting ‘near misses’ may provide an insight into a powerful alternative to human error prevention, namely: human recovery promotion. Theoretical approaches to modelling error recovery are discussed and translated into empirical research questions. These are partly answered by a number of pilot studies. The main conclusions are that error recovery is much more than simple luck or coincidence, that its root causes can be identified, and that these should have design implications for the technical and organisational context of the human operator’s task.

Country
Netherlands
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    selected citations
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    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
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