Abstract
Human error is attributed as the cause of 50–90% of all accidents and incidents. One of the method-types that try to estimate or predict human error is human reliability analysis (HRA). This paper explores how microworlds - graphically rich and complex rule governed virtual worlds that users immersed themselves in – can be used in HRA. The main focus is research microworlds, but also microworlds made for recreational purposes (i.e. video games) are discussed.
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Rasmussen, M., Laumann, K., Boring, R. (2019). Looking for Additional Data Sources for HRA: Microworlds and Beyond. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2018. Advances in Intelligent Systems and Computing, vol 778. Springer, Cham. https://doi.org/10.1007/978-3-319-94391-6_29
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