Trust in Human-Robot Interaction
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Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics.
Key Features
- Presents a repository of the open questions and challenges in trust in HRI
- Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science
- Examines human information processing as a foundation for understanding HRI
- Details the methods and techniques used to test and quantify trust in HRI
Readership
Graduate students, researchers, academics and professionals in the areas of human factors, robotics, social psychology, neuroscience, computer science, and engineering psychology
Table of Contents
Part I: Fundamentals of Human-Robot Interaction
1. Robotics
2. Human information processing
3. R&D framework/platform
4. ApplicationsPART II: Determinants of Trust in Human-Robot Interaction
5. Individual differences
6. Social factors
7. Transparency
8. Understanding robot intent
9. Robot behavior and trust
10. Contextual factors and trust
11. Agent-based systems
12. Communication and trust
13. Physical Design and trust
14. Engagement and trust A. Modelling trust in HRIPART III: Human-Robot Interaction and Emerging Issues
11. Ethics and privacy
12. User-Centered Design and Development Process
Product details
- No. of pages: 614
- Language: English
- Copyright: © Academic Press 2020
- Published: November 17, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128194720
- eBook ISBN: 9780128194737
About the Editors
Chang Nam
Chang S. Nam is currently a Professor of Industrial and Systems Engineering at North Carolina State University (NCSU), USA. He is also an associated faculty in the UNC/NCSU Joint Department of Biomedical Engineering, Department of Psychology, and Brain Research Imaging Center (BRIC) at UNC. He received a PhD at Virginia Tech. His research interests center around brain-computer interfaces, computational neuroscience, neuroergonomics, and human-AI/Robot/Automation interaction. He is the editor of “Brain-Computer Interfaces Handbook: Technological and Theoretical Advances” (with Drs. Nijholt and Lotte, CRC Press), “Neuroergonomics: Principles and Practices (Springer), “Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity (with Contreras-Vidal et al., Springer), “Trust in Human-Robot Interaction: Research and Applications” (with Lyons, Elsevier), and “Human-centered AI: Research and Applications” (with Jung & Lee, Elsevier). Currently, Nam serves as the Editor-in-Chief of the journal Brain-Computer Interfaces.
Affiliations and Expertise
Professor, North Carolina State University, USA.
Joseph Lyons
Joseph B. Lyons is currently a Senior Research Psychologist for the United States Air Force Research laboratory. He received his Ph.D. in Industrial/Organizational psychology with a minor in human factors from Wright State university. His primary research interests include: human-machine trust, interpersonal trust, leadership, and organizational science. Currently, Lyons serves as an Associate Editor for the journal Military Psychology, and he has served as a guest editor for IEEE Transactions on Human-Machine Systems. Formerly, he served as the Editor for The Military Psychologist.
Affiliations and Expertise
Wright-Patterson AFB, OH, USA
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