Insightful and cutting-edge discussions of recent developments in human-machine systems

In Handbook of Human-Machine Systems, a team of distinguished researchers delivers a comprehensive exploration of human-machine systems (HMS) research and development from a variety of illuminating perspectives. The book offers a big picture look at state-of-the-art research and technology in the area of HMS. Contributing authors cover Brain-Machine Interfaces and Systems, including assistive technologies like devices used to improve locomotion. They also discuss advances in the scientific and engineering foundations of Collaborative Intelligent Systems and Applications.

Companion technology, which combines trans-disciplinary research in fields like computer science, AI, and cognitive science, is explored alongside the applications of human cognition in intelligent and artificially intelligent system designs, human factors engineering, and various aspects of interactive and wearable computers and systems. The book also includes:

• A thorough introduction to human-machine systems via the use of emblematic use cases, as well as discussions of potential future research challenges
• Comprehensive explorations of hybrid technologies, which focus on transversal aspects of human-machine systems
• Practical discussions of human-machine cooperation principles and methods for the design and evaluation of a brain-computer interface

Perfect for academic and technical researchers with an interest in HMS, Handbook of Human-Machine Systems will also earn a place in the libraries of technical professionals practicing in areas including computer science, artificial intelligence, cognitive science, engineering, psychology, and neurobiology.
About the Author:

Giancarlo Fortino, PhD, is a Full Professor of Computer Engineering, Chair of the ICT PhD School, and Rector's Delegate for International Relations with the Department of Informatics, Modeling, Electronics, and Systems at University of Calabria, Italy.

David Kaber, PhD, is the Department Chair and Dean's Leadership Professor with the Department of Industrial & Systems Engineering at the University of Florida.

Andreas Nürnberger, PhD, is a Full Professor for Data and Knowledge Engineering in the Faculty of Computer Science at Otto-von-Guericke-Universität Magdeburg, Germany.

David Mendonca, PhD, is a Full Professor with the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute.