| dc.contributor.author | Rasmussen, Martin | |
| dc.contributor.author | Laumann, Karin | |
| dc.contributor.author | Boring, Ronald | |
| dc.date.accessioned | 2020-08-24T08:47:25Z | |
| dc.date.available | 2020-08-24T08:47:25Z | |
| dc.date.created | 2018-07-04T13:10:12Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 978-3-319-94390-9 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2673535 | |
| dc.description.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. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer Verlag | en_US |
| dc.relation.ispartof | Advances in Human Error, Reliability, Resilience, and Performance — Proceedings of the AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA | |
| dc.relation.uri | https://www.springer.com/us/book/9783319943909#aboutBook | |
| dc.title | Looking for additional data sources for HRA: Microworlds and beyond | en_US |
| dc.type | Chapter | en_US |
| dc.description.version | submittedVersion | en_US |
| dc.source.pagenumber | 310-318 | en_US |
| dc.identifier.doi | https://doi.org/10.1007/978-3-319-94391-6_29 | |
| dc.identifier.cristin | 1595632 | |
| dc.description.localcode | This article will not be available due to copyright restrictions (c) 2019 by Springer | en_US |
| cristin.unitcode | 194,67,40,0 | |
| cristin.unitname | Institutt for psykologi | |
| cristin.ispublished | true | |
| cristin.fulltext | preprint | |
| cristin.qualitycode | 1 | |
