Advances in simulation and digital human modeling : proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA / Julia L. Wright, Daniel Barber, Sofia Scataglini, Sudhakar L. Rajulu, editors.
International Conference on Human Factors and Simulation (2021 : Online); Wright, Julia L., editor.; Barber, Daniel, editor.; Scataglini, Sofia, editor.; Rajulu, Sudhakar L., editor.; International Conference on Digital Human Modeling and Applied Optimization (2021 : Online); International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (12th : 2021 : Online)
2021
QA76.9.C65 I58 2021
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Online Access
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Unlimited
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Details
Title
Advances in simulation and digital human modeling : proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA / Julia L. Wright, Daniel Barber, Sofia Scataglini, Sudhakar L. Rajulu, editors.
ISBN
9783030797638 (electronic bk.)
3030797635 (electronic bk.)
9783030797621
3030797627
3030797635 (electronic bk.)
9783030797621
3030797627
Published
Cham : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (chiefly color)
Other Standard Identifiers
10.1007/978-3-030-79763-8 doi
Call Number
QA76.9.C65 I58 2021
Dewey Decimal Classification
003/.3
Summary
This book provides readers with a timely snapshot of modeling and simulation tools, including virtual and mixed-reality environment, for human factors research. It covers applications in healthcare and physical ergonomics, military and transportation systems, industrial monitoring, as well as economics and social sciences. Based on the AHFE 2021 International Conference on Human Factors and Simulation and the AHFE 2021 International Conference on Digital Human Modeling and Applied Optimization, held virtually on 25-29 July, 2021, from USA, the book offers a unique resource for modelling and simulation researchers seeking insights into human factors research and to human factors experts seeking reliable computational tools.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 9, 2021).
Added Author
Wright, Julia L., editor.
Barber, Daniel, editor.
Scataglini, Sofia, editor.
Rajulu, Sudhakar L., editor.
Barber, Daniel, editor.
Scataglini, Sofia, editor.
Rajulu, Sudhakar L., editor.
Added Meeting Name
International Conference on Digital Human Modeling and Applied Optimization (2021 : Online)
International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (12th : 2021 : Online)
International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (12th : 2021 : Online)
Series
Lecture notes in networks and systems ; v. 264. 2367-3370
Available in Other Form
Print version: 9783030797621
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Online Access
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Online Resources > Ebooks
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All Resources
Table of Contents
Human-autonomy teaming with learning capable agents: Performance and workload outcome
Examining vigilance decrement in a simulated unmanned aircraft system (UAS) monitoring task
Quantifying survivability via measurement of bodily exposure during simulated combat engagements
Supervisory control of automation during event-paced scenarios
Exploiting interdependence in autonomous human-machine systems to avoid disaggregation and vulnerability
Visualizing human-autonomy team dynamics through the development of a global after-action review technology
Development of a neural network algorithm to detect Soldier load from environmental speech.
Examining vigilance decrement in a simulated unmanned aircraft system (UAS) monitoring task
Quantifying survivability via measurement of bodily exposure during simulated combat engagements
Supervisory control of automation during event-paced scenarios
Exploiting interdependence in autonomous human-machine systems to avoid disaggregation and vulnerability
Visualizing human-autonomy team dynamics through the development of a global after-action review technology
Development of a neural network algorithm to detect Soldier load from environmental speech.