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Human Performance in Automated and Autonomous Systems: Current Theory and Methods.

Human Performance in Automated and Autonomous Systems: Current Theory and Methods.

・ISBN 978-1-138-31227-2 hard GB£ 171.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9780429458330
著者・編者Mouloua, Mustapha / Hancock, Peter A. (eds.),
出版社 (CRC Press, UK)
出版年月2019
ページ数320 pp.
言語ENG
ニュース番号<A00-45353>

解説

This book examines recent advances in theories, models, and methods relevant to automated and autonomous systems. The following chapters provide perspectives on modern autonomous systems, such as self-driving cars and unmanned aerial systems, directly from the professionals working with and studying them. Current theories surrounding topics such as vigilance, trust, and fatigue are examined throughout as predictors of human performance in the operation of automated systems.

The challenges related to attention and effort in autonomous vehicles described within give credence to still-developing methods of training and selecting operators of such unmanned systems. The book further recognizes the need for human-centered approaches to design; a carefully crafted automated technology that places the "human user" in the center of that design process.

Features

  • Combines scientific theories with real-world applications where automated technologies are implemented
  • Disseminates new understanding as to how automation is now transitioning to autonomy
  • Highlights the role of individual and team characteristics in the piloting of unmanned systems and how models of human performance are applied in system design
  • Discusses methods for selecting and training individuals to succeed in an age of increasingly complex human-machine systems
  • Provides explicit benchmark comparisons of progress across the last few decades, and identifies future prognostications and the constraints that impinge upon these lines of progress

Human Performance in Automated and Autonomous Systems: Current Theory and Methods illustrates the modern scientific theories and methods to be applied in real-world automated technologies.