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Record Nr. |
UNINA9910366595003321 |
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Titolo |
Advances in Human Error, Reliability, Resilience, and Performance : Proceedings of the AHFE 2019 International Conference on Human Error, Reliability, Resilience, and Performance, July 24-28, 2019, Washington D.C., USA / / edited by Ronald L. Boring |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (334 pages) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5357 ; ; 956 |
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Disciplina |
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Soggetti |
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Quality control |
Reliability |
Industrial safety |
Computational intelligence |
Psychology, Experimental |
Operations research |
Decision making |
User interfaces (Computer systems) |
Quality Control, Reliability, Safety and Risk |
Computational Intelligence |
Experimental Psychology |
Operations Research/Decision Theory |
User Interfaces and Human Computer Interaction |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This book brings together studies broadly addressing human error from different disciplines and perspectives. It discusses topics such as human performance; human variability and reliability analysis; medical, driver and pilot error, as well as automation error; root cause analyses; and the cognitive modeling of human error. In addition, it highlights cutting-edge applications in safety management, defense, security, |
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transportation, process controls, and medicine, as well as more traditional fields of application. Based on the AHFE 2019 International Conference on Human Error, Reliability, Resilience, and Performance, held on July 24-28, 2019, Washington D.C., USA, the book includes experimental papers, original reviews, and reports on case studies, as well as meta-analyses, technical guidelines, best practice and methodological papers. It offers a timely reference guide for researchers and practitioners dealing with human error in a diverse range of fields. |
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