Editors:
- Reports on emerging practices for better integration of human operators with computational systems
- Highlights the cognitive ergonomic aspects in the design of work and play environments
- Discusses how to make human-system interaction compatible with human cognitive abilities and limitations
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 259)
Conference series link(s): AHFE: International Conference on Applied Human Factors and Ergonomics
Conference proceedings info: AHFE 2021.
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Table of contents (60 papers)
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Front Matter
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Modeling and Monitoring Humans for Operational Task Performance
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Front Matter
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Real-World Human State Assessment: Victories and Remaining Challenges
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Front Matter
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Cognitive State Assessment
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Front Matter
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Other Volumes
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Advances in Neuroergonomics and Cognitive Engineering
About this book
This book offers a broad overview of the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators and computational systems. It gathers both theoretical and practice-oriented studies on mental workload and stress, activity theory, human reliability, error and risk. It covers applications in various field, and corresponding strategies to make assistive technologies more user-oriented. Further, the book describes key advances in our understanding of cognitive processes, including mechanisms of perception, memory, reasoning, and motor response, with a particular focus on their role in interactions between humans and other elements of computer-based systems. Gathering the proceedings of the AHFE 2021 Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, held virtually on July 25-29, 2021, from USA, this book offers extensive information and a thought-provoking guide for researchers and practitioners in cognitive engineering, neuroergonomics and their applications.
Keywords
- Monitoring Human Performance
- Evaluating Cognitive Workload
- Mental Workload Models
- Artificial Social Intelligence
- Human-machine Collaborative Learning
- Modeling Brain Signals
- Assessing Cognitive Function
- Neurophysiological Assessment of Workers
- Measuring Worker Engagement
- Visual Cognition
- Consumer-behavior Analysis
- Attention Analysis Methods
- Wearable Biosensors
- Measuring Situation Awareness
- Cognitive Workload Classification
- Emotional Engagement Assessment
- Cooperative Teaming
- Team Performance Assessment
- Neurobusiness applications
- AHFE 2021 Proceedings
Editors and Affiliations
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School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, USA
Hasan Ayaz
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School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), Islamabad, Pakistan
Umer Asgher
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DIGITAL – Institute for Information and Communication Technologies, Graz, Austria
Lucas Paletta
Bibliographic Information
Book Title: Advances in Neuroergonomics and Cognitive Engineering
Book Subtitle: Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA
Editors: Hasan Ayaz, Umer Asgher, Lucas Paletta
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-80285-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-80284-4Published: 05 July 2021
eBook ISBN: 978-3-030-80285-1Published: 03 July 2021
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XVII, 536
Number of Illustrations: 31 b/w illustrations, 135 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Engineering Economics, Organization, Logistics, Marketing, Computational Intelligence, Cognitive Psychology, Mathematical Models of Cognitive Processes and Neural Networks