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

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.