1.

Record Nr.

UNINA9910366595003321

Titolo

Advances in Human Error, Reliability, Resilience, and Performance [[electronic resource] ] : 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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-20037-X

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (334 pages)

Collana

Advances in Intelligent Systems and Computing, , 2194-5357 ; ; 956

Disciplina

620.82

Soggetti

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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

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,



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.