Handbook of human-machine systems / edited by Giancarlo Fortino, David Kaber, Andreas Nèurnberger, David Mendonðca.
Contributor(s): Fortino, Giancarlo [editor.] | Kaber, David B [editor.] | Nèurnberger, Andreas [editor.] | Mendonðca, David [editor.]
Language: English Publisher: Hoboken, New Jersey : Wiley-IEEE Press, [2023]Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119863632Subject(s): Human-machine systemsGenre/Form: Electronic books.DDC classification: 620.8/2 LOC classification: TA167 | .H3628 2023Online resources: Full text is available at Wiley Online Library Click here to view Summary: "This book provides a "big picture" look at the state-of-the-art of research and technology pertaining to Human-Machine Systems (HMS). The contributing authors cover Brain-Machine Interfaces and Systems (BMIS) which includes assistive technology such as devices to improve locomotion. They also address advances on the development of scientific and engineering foundations through Collaborative Intelligent Systems and Applications (CISA). They also discuss Companion Technology (CT), which combines trans-disciplinary research in fields such as computer science and artificial intelligence, cognitive science, engineering, psychology, and neurobiology. Later chapters explore human cognition in intelligent/AI system designs, Human Factors Engineering (HFE), and advances and developments in all aspects of interactive and/or wearable computing and systems"-- Provided by publisher.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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EBOOK
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COLLEGE LIBRARY | COLLEGE LIBRARY | 620.82 H19134 2023 (Browse shelf) | Available (In Process) |
Includes bibliographical references and index.
"This book provides a "big picture" look at the state-of-the-art of research and technology pertaining to Human-Machine Systems (HMS). The contributing authors cover Brain-Machine Interfaces and Systems (BMIS) which includes assistive technology such as devices to improve locomotion. They also address advances on the development of scientific and engineering foundations through Collaborative Intelligent Systems and Applications (CISA). They also discuss Companion Technology (CT), which combines trans-disciplinary research in fields such as computer science and artificial intelligence, cognitive science, engineering, psychology, and neurobiology. Later chapters explore human cognition in intelligent/AI system designs, Human Factors Engineering (HFE), and advances and developments in all aspects of interactive and/or wearable computing and systems"-- Provided by publisher.
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 Mendonça, PhD, is a Senior Principal Decision Scientist at Advanced Software Innovation.
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