Overview
- Reports on various approaches to identifying, preventing or mitigating human error
- Includes experimental studies, best practices, and technical guidelines
- Highlights cutting-edge topics related to security, defense, and human–technology interactions
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 589)
Included in the following conference series:
Conference proceedings info: AHFE 2017.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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 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.
Similar content being viewed by others
Keywords
- Human Performance
- Human Variability
- Human Reliability Analysis
- Human Reliability Analysis
- Root Cause Analysis
- Accident Investigation
- Human Resilience and Resilience Engineering
- High Reliability Organizations
- High Reliability Organizations
- Medical Error
- Driver Error
- Pilot Error
- Automation Error
- Defense in Depth
- Errors of Commission and Omission
- Human Error Taxonomies and Databases
- Human Performance Improvement and Training
- Cognitive Modeling of Human Error
- Qualitative and Quantitative Risk Assessment
- AHFE 2017 Proceedings
Table of contents (35 papers)
-
Front Matter
-
Human Reliability Analysis
-
Front Matter
-
-
Bridging Human Factors and Human Error
-
Front Matter
-
-
Human Error and Resilience in Safety-Critical Domains
-
Front Matter
-
Other volumes
-
Advances in Human Aspects of Transportation
-
Advances in The Human Side of Service Engineering
-
Advances in Affective and Pleasurable Design
-
Advances in Neuroergonomics and Cognitive Engineering
-
Advances in Design for Inclusion
-
Advances in Ergonomics in Design
-
Advances in Human Error, Reliability, Resilience, and Performance
-
Advances in Human Factors and Ergonomics in Healthcare and Medical Devices
-
Advances in Human Factors in Simulation and Modeling
-
Advances in Human Factors and Systems Interaction
-
Advances in Human Factors in Cybersecurity
-
Advances in Human Factors, Business Management and Leadership
-
Advances in Human Factors in Robots and Unmanned Systems
-
Advances in Human Factors in Training, Education, and Learning Sciences
-
Advances in Human Factors, Software, and Systems Engineering
-
Advances in Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries
-
Advances in Human Factors, Sustainable Urban Planning and Infrastructure
-
Advances in Physical Ergonomics and Human Factors
-
Advances in Human Factors in Sports, Injury Prevention and Outdoor Recreation
-
Advances in Safety Management and Human Factors
-
Advances in Social & Occupational Ergonomics
-
Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future
-
Advances in Usability and User Experience
-
Advances in Human Factors in Wearable Technologies and Game Design
-
Advances in Communication of Design
-
Advances in Cross-Cultural Decision Making
Editors and Affiliations
About the editor
Ronald L. Boring, Ph.D., is a principal human factors scientist at Idaho National Laboratory. Prior to joining Idaho National Laboratory, he worked as a human reliability scientist at Sandia National Laboratories, where he was involved in projects for the US Nuclear Regulatory Commission and the US Department of Energy. He has also worked as a usability engineer for the Microsoft Corporation and Expedia Corporation, and as a guest researcher in human-computer interaction at the National Research Council of Canada. He recently completed a one-year assignment as a visiting scientist at the Halden Reactor Project in Norway. Dr. Boring has a BA in Psychology and German from the University of Montana, an MA in Human Factors and Experimental Psychology from New Mexico State University, and a PhD in Cognitive Science from Carleton University. He was a Fulbright Academic Scholar to the University of Heidelberg, Germany. He has published over 100 research articles in a wide variety of humanreliability, human factors, and human- computer interaction forums. He has served on the organizing committees for international conferences held by the Human Factors and Ergonomics Society, IEEE, and the Association for Computing Machinery.
Bibliographic Information
Book Title: Advances in Human Error, Reliability, Resilience, and Performance
Book Subtitle: 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
Editors: Ronald Laurids Boring
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-60645-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-60644-6Published: 20 June 2017
eBook ISBN: 978-3-319-60645-3Published: 16 June 2017
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIV, 366
Number of Illustrations: 87 b/w illustrations
Topics: Computational Intelligence, User Interfaces and Human Computer Interaction, Experimental Psychology, Quality Control, Reliability, Safety and Risk, Operations Research/Decision Theory