Handbook of Human-Machine Systems
Giancarlo Fortino, David Kaber, Andreas Nürnberger, David Mendonça, Giancarlo Fortino, David Kaber, Andreas Nürnberger, David Mendonça
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Handbook of Human-Machine Systems
Giancarlo Fortino, David Kaber, Andreas Nürnberger, David Mendonça, Giancarlo Fortino, David Kaber, Andreas Nürnberger, David Mendonça
About This Book
Handbook of Human-Machine Systems
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.