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Record Nr. |
UNINA9910299921203321 |
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Titolo |
Advances in Human Error, Reliability, Resilience, and Performance : Proceedings of the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, July 17–21,2017, The Westin Bonaventure Hotel,Los Angeles, California, USA / / edited by Ronald Laurids Boring |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XIV, 366 p. 87 illus.) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5357 ; ; 589 |
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Disciplina |
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Soggetti |
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Computational intelligence |
User interfaces (Computer systems) |
Psychology, Experimental |
Quality control |
Reliability |
Industrial safety |
Operations research |
Decision making |
Computational Intelligence |
User Interfaces and Human Computer Interaction |
Experimental Psychology |
Quality Control, Reliability, Safety and Risk |
Operations Research/Decision Theory |
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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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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Sommario/riassunto |
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This book brings together studies broadly dealing with human error from different disciplines and perspectives. They concern human performance; human variability and reliability analysis; medical, driver and pilot error, as well as automation error; reports on root cause |
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analyses; and the cognitive modeling of human error. In addition, they highlight cutting-edge applications in safety management, defense, security, transportation, process controls, and medicine, as well as more traditional fields of application. Based on the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, held on July 17–21, 2017 in Los Angeles, California, 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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