Human Performance in Automated and Autonomous Systems-Current Theory and Methods

✍ Scribed by Mustapha Mouloua (Editor); Peter A. Hancock (Editor)

• Publisher: CRC Press
• Year: 2019
• Leaves: 341
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Chapter 1 Designing Wearable Interfaces for People Who Have Hard Jobs

Matthew Ward, James Wen, James Head, & William S. Helton

Chapter 2 Humans and Automated Decision Aids: A Match Made in Heaven?

Kathleen L. Mosier & Dietrich Manzey

Chapter 3 The Quest for Alternatives to “Levels of Automation” and “Task Allocation”

Robert R. Hoffman & Matthew Johnson

Chapter 4 Why Representations Matter: Designing to Support Productive Thinking

John M. Flach & Kevin B. Bennett

Chapter 5 Vigilance and Workload in Automated Systems: Patterns of Association, Dissociation, and Insensitivity

James L. Szalma & Victoria L. Claypoole

Chapter 6 Theoretical Perspectives on Adaptive Automation

Mark W. Scerbo

Chapter 7 Fatigue, Automation, and Autonomy: Challenges for Operator Attention, Effort, and Trust

Gerald Matthews, Ryan Wohleber, Jinchao Lin, & April Rose Panganiban

Chapter 8 Human-Automation Interaction and the Challenge of Maintaining Situation Awareness in Future

Autonomous Vehicles

Mica R. Endsley

Chapter 9 Human Factors Issues Regarding Automation Trust in UAS Operation, Selection, and Training

Mustapha Mouloua, James Ferraro, Alexandra Kaplan, Phillip Mangos, & Peter A. Hancock

Chapter 10 Autonomous Systems Theory and Design and a Paradox of Automation for Safety

David Kaber

Chapter 11 Workload and Attention Management in Automated Vehicles

Joonbum Lee, Vindhya Venkatraman, John L. Campbell, & Christian M. Richard

Chapter 12 Attention Management in Highly Autonomous Driving

Carryl L. Baldwin & Ian McCandliss

Chapter 13 To Autonomy and Beyond

Peter A. Hancock

Chapter 14 Teleology for Technology

Peter A. Hancock

Chapter 15 The Axial Age of Artificial Autonomy

Peter A. Hancock