Trust in Human-Robot Interaction Books

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Trust in Human Robot Interaction


Trust in Human Robot Interaction
  • Author : Chang S. Nam
  • Publisher : Academic Press
  • Release : 2020-11-27
  • ISBN : 9780128194737
  • Language : En, Es, Fr & De
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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. 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

Measuring Trust in Human robot Interaction for Urban Search and Rescue


Measuring Trust in Human robot Interaction for Urban Search and Rescue
  • Author : Quaneisha Lynnette Jenkins
  • Publisher :
  • Release : 2009
  • ISBN : OCLC:768130701
  • Language : En, Es, Fr & De
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Develops a survey-based instrument to measure trust in human-robot interactions (HRI) with rescue robots for urban search and rescue (USAR) missions. Conducts a literature survey to identify relevant dimensions of trust and a pilot study to help select and categorize the dimensions.

Sliding Scale Autonomy and Trust in Human robot Interaction


Sliding Scale Autonomy and Trust in Human robot Interaction
  • Author : Munjal Desai
  • Publisher :
  • Release : 2007
  • ISBN : 1109808259
  • Language : En, Es, Fr & De
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Autonomy defines what robots can do independently: the greater the autonomy, the more robots can do. However, giving more autonomy to robots does not always mean they can perform better. Adjustable autonomy systems solve this problem by providing multiple autonomy levels from which to select. The system designers select the autonomy levels based on what they think would be appropriate for the application. However there are circumstances where a required autonomy level is not provided. We designed a sliding scale autonomy system that provides a continuum of autonomy levels. We included a trust slider to ensure that the robot would take appropriate initiative in accordance with the level of trust that the user has of the robot. Our system was tested against two different adjustable autonomy systems for performance. Overall, users had fewer hits and lower run times with the sliding scale autonomy systems compared to the other two systems.

Trends in Control and Decision Making for Human Robot Collaboration Systems


Trends in Control and Decision Making for Human   Robot Collaboration Systems
  • Author : Yue Wang
  • Publisher : Springer
  • Release : 2017-01-24
  • ISBN : 9783319405339
  • Language : En, Es, Fr & De
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This book provides an overview of recent research developments in the automation and control of robotic systems that collaborate with humans. A measure of human collaboration being necessary for the optimal operation of any robotic system, the contributors exploit a broad selection of such systems to demonstrate the importance of the subject, particularly where the environment is prone to uncertainty or complexity. They show how such human strengths as high-level decision-making, flexibility, and dexterity can be combined with robotic precision, and ability to perform task repetitively or in a dangerous environment. The book focuses on quantitative methods and control design for guaranteed robot performance and balanced human experience from both physical human-robot interaction and social human-robot interaction. Its contributions develop and expand upon material presented at various international conferences. They are organized into three parts covering: one-human–one-robot collaboration; one-human–multiple-robot collaboration; and human–swarm collaboration. Individual topic areas include resource optimization (human and robotic), safety in collaboration, human trust in robot and decision-making when collaborating with robots, abstraction of swarm systems to make them suitable for human control, modeling and control of internal force interactions for collaborative manipulation, and the sharing of control between human and automated systems, etc. Control and decision-making algorithms feature prominently in the text, importantly within the context of human factors and the constraints they impose. Applications such as assistive technology, driverless vehicles, cooperative mobile robots, manufacturing robots and swarm robots are considered. Illustrative figures and tables are provided throughout the book. Researchers and students working in controls, and the interaction of humans and robots will learn new methods for human–robot collaboration from this book and will find the cutting edge of the subject described in depth.

Foundations of Trusted Autonomy


Foundations of Trusted Autonomy
  • Author : Hussein A. Abbass
  • Publisher : Springer
  • Release : 2018-01-15
  • ISBN : 9783319648163
  • Language : En, Es, Fr & De
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This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.