Applied Attention Theory
eBook - ePub

Applied Attention Theory

  1. 272 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Attention Theory

About this book

Applied Attention Theory, Second Edition provides details concerning the relevance of all aspects of attention to the world beyond the laboratory. Topic application areas include the design of warning systems to capture attention; attention distractions in the workplace; failures of dividing attention while driving; and the measurement of mental workload while flying.

This new edition discusses the implications of VR and AR for human attention. It also covers the treatment of attention-based pedagogical methods used to enhance learning and presents attentional issues in interacting with automation and AI. New chapters include applications of attention to healthcare, education pedagogy, highway safety, and human interaction with autonomous vehicles and other AI systems.

The readership for this book is the professional, the researcher, and the student.

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Yes, you can access Applied Attention Theory by Christopher D. Wickens,Jason S. McCarley,Robert S. Gutzwiller in PDF and/or ePUB format, as well as other popular books in Technik & Maschinenbau & Gesundheit & Sicherheit in der Industrie. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Authors
  8. Chapter 1 Introduction
  9. Chapter 2 Single-Channel Theory and Automaticity
  10. Chapter 3 Attention Control
  11. Chapter 4 Visual Attention, Scanning, and Information Sampling
  12. Chapter 5 Visual Search
  13. Chapter 6 Spatial Attention and Displays
  14. Chapter 7 Resources and Effort
  15. Chapter 8 Concurrent Task Performance: Time-Sharing and Multiple Resources
  16. Chapter 9 Sequential Multitasking: Attention Switching, Interruptions, and Task Management
  17. Chapter 10 Attention and Human Interaction with Automation and AI
  18. Chapter 11 Applications (with Tobias Grundgeiger and Yusuke Yamani)
  19. References
  20. Author Index
  21. Subject Index