Buch, Englisch, Band 778, 328 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 522 g
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
Buch, Englisch, Band 778, 328 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 522 g
Reihe: Advances in Intelligent Systems and Computing
ISBN: 978-3-319-94390-9
Verlag: Springer International Publishing
Based on the AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, held on July 21–25, 2018, in Orlando, Florida, 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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Experimentelle Psychologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Zuverlässigkeitstechnik
Weitere Infos & Material
Human trust factors in image analysis.- A visual analytics approach to combat confirmation bias for a local food bank.- Study on impact of time load on searching and recognition of visual information.- Analysis of team situation awareness errors in digital nuclear power plants.- Towards enhanced comprehension of human errors in cybersecurity attacks.- Training for readiness and resilience.- Estimating diagnosis time of emergency situations in digitalized control rooms.- Looking for additional data sources for HRA: Microworlds and beyond.- Study on the randomness of EOM behavior in a nuclear power plant.