Advances in human error, reliability, resilience, and performance 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 /
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 cognitiv...
| Corporate Authors: | International Conference on Human Error, Reliability, Resilience, and Performance Orlando, Fla.) |
|---|---|
| Other Authors: | International Conference on Human Error, Reliability, Resilience, and Performance, Boring, Ronald L.,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2018]
|
| Physical Description: |
1 online resource : illustrations (some color). |
| Series: |
Advances in intelligent systems and computing ;
778. |
| Subjects: |
| Summary: |
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 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. |
|---|---|
| Item Description: |
Includes bibliographical references. Intro; Advances in Human Factors and Ergonomics 2018; Preface; Contents; Human Error and Team Performance; Human Trust Factors in Image Analysis; Abstract; 1 Introduction; 1.1 Motivation; 1.2 Hypothesis; 1.3 Snapshot of Procedure and Results; 1.4 Background/Related Work; 2 Materials; 3 Methods; 4 Results; 4.1 Time Factors; 4.2 Agreement Factors; 5 Discussion; 6 Conclusion; References; A Visual Analytics Approach to Combat Confirmation Bias for a Local Food Bank; Abstract; 1 Introduction; 2 Background; 2.1 Food Bank of Central and Eastern North Carolina. 2.2 Food Bank Decision-Making Challenges2.3 Cognitive Bias; 2.4 Visual Analytics; 3 Methodology; 3.1 Participants; 3.2 Stimulus Materials; 3.3 Task Procedure; 4 Analysis and Results; 4.1 Task Responses; 4.2 Concurrent Confidence Ratings; 4.3 Feedback from Participants; 5 Discussion and Conclusion; Acknowledgments; References; Study on Impact of Time Load on Searching and Recognition of Visual Information; Abstract; 1 Introduction; 2 Theoretical Research on Time Load and VISR Performance; 2.1 Time Load Theory; 2.2 Theory of VISR Performance. 3 Experimental Research into the Effects of Time Load on Performance in VISR3.1 Research Content and Method; 3.2 Test Subjects; 3.3 Experimental Equipment and Software; 3.4 Sample Selection; 3.5 Preliminary Experiment; 3.6 Variable Validation; 3.7 Formal Experiment; 3.8 Evaluation Criteria; 3.9 Experimental Results and Analysis; 4 Conclusions; Acknowledgements; References; Measuring Mutual Awareness for Digital Human-Machine Interfaces: A Questionnaire for Simulator Studies; Abstract; 1 Introduction; 2 Development of Questionnaire; 3 Pilot Run of MA Questionnaire; 4 Conclusion and Discussion. Disclaimer and AcknowledgementsReferences; Human Error Prediction Using Eye Tracking to Improvise Team Cohesion in Human-Machine Teams; Abstract; 1 Introduction; 1.1 Frameworks of Human-Machine Teams; 1.2 Overview of the Paper; 2 Background and Related Work; 3 Proposed Methods; 3.1 Video Monitoring Based Gaze Tracking; 3.2 Predicting Human Error Through Cognitive State Measurement; 3.3 Data Generated and Processing; 3.4 Prediction Methods; 4 Results and Discussion; 4.1 Results; 4.2 Discussion; 5 Conclusions and Future Work; Acknowledgments; References. Defining Mutual Awareness: Results of Reactor Operator Surveys on the Emergence of Digital Technology in Main Control RoomsAbstract; 1 Introduction; 2 Crew Dynamics; 3 Challenges in Transition; 4 Digital Interface Errors; 5 Cybersecurity Concerns; 6 Method; 7 Results; 8 Discussion; 9 Conclusions; References; Analysis of Team Situation Awareness Errors in Digital Nuclear Power Plants; Abstract; 1 Introduction; 2 Team Interaction Model; 3 Classification of TSA Errors and Performance Influencing Factors; 3.1 TSA Error Classification; 3.2 PIF Classification. 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 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. |
| Physical Description: |
1 online resource : illustrations (some color). |
| Bibliography: |
Includes bibliographical references. |
| ISBN: |
9783319943916 331994391X |
| ISSN: |
2194-5357 ; |