Mixed Reality and Human-Robot Interaction [electronic resource] /
Wang, Xiangyu.editor.
MR technologies play an increasing role in different aspects of human-robot interactions. The visual combination of digital contents with real working spaces creates a simulated environment that is set out to enhance these aspects. This book presents and discusses fundamental scientific issues, technical implementations, lab testing, and industrial applications and case studies of Mixed Reality in Human-Robot Interaction. It is a reference book that not only acts as meta-book in the field that defines and frames Mixed Reality use in Human-Robot Interaction, but also addresses up-coming trends and emerging directions of the field. This volume offers a comprehensive reference volume to the state-of-the-art in the area of MR in Human-Robot Interaction, an excellent mix of contributions from leading researcher/experts in multiple disciplines from academia and industry. All authors are experts and/or top researchers in their respective areas and each of the chapters has been rigorously reviewed for intellectual contents by the editorial team to ensure a high quality. This book provides up-to-date insight into the current research topics in this field as well as the latest technological advancements and the best working examples.
Description based upon print version of record.
Includes bibliographical references and index.
Preface -- Table of Contents -- Chapter 1 What is Mixed Reality, ANYWay? Considering the Boundaries of mixed reality in the Context of Robots , by J. Young, E. Sharlin, and T. Igarashi -- Chapter 2 User-Centered HRI: HRI Research Methodology for Designers, by M. Kim, K. Oh, J.Choi, J. Jung, and Y. Kim -- Chapter 3 Mental Transformations in Human-Robot interaction, by B.P. DeJong, J. E. Colgate, and M.A. Peshkin -- Chapter 4 Computational Cognitive Modeling of Human-Robot Interaction Using a GOMS Methodology, by D.B. Kaber, S.H. Kim, and X. Wang -- Chapter 5 A Mixed Reality Based Teleoperation Interface for Mobile Robot, by X. Wang and J. Zhu -- Chapter 6 Evaluating the Usability of Virtual Environment by Employing Affective Measures, by I. Rezazadeh, M. Firoozabadi, and X. Wang -- Chapter 7 Security Robot Simulator, by W.H.Hung, P.Liu, and S.C. Kang -- Chapter 8 Companion Migration - Initial Participants' Feedback from a Video-Based Prototyping Study, by K.L. Koay, D.S. Syrdal, K. Dautenhahn, K. Arent, Ł. Małek, and B. Kreczmer; Author Biographies -- Index.
MR technologies play an increasing role in different aspects of human-robot interactions. The visual combination of digital contents with real working spaces creates a simulated environment that is set out to enhance these aspects. This book presents and discusses fundamental scientific issues, technical implementations, lab testing, and industrial applications and case studies of Mixed Reality in Human-Robot Interaction. It is a reference book that not only acts as meta-book in the field that defines and frames Mixed Reality use in Human-Robot Interaction, but also addresses up-coming trends and emerging directions of the field. This volume offers a comprehensive reference volume to the state-of-the-art in the area of MR in Human-Robot Interaction, an excellent mix of contributions from leading researcher/experts in multiple disciplines from academia and industry. All authors are experts and/or top researchers in their respective areas and each of the chapters has been rigorously reviewed for intellectual contents by the editorial team to ensure a high quality. This book provides up-to-date insight into the current research topics in this field as well as the latest technological advancements and the best working examples.
Control engineering.
Robotics.
Mechatronics.
Artificial intelligence.
Computer-aided engineering.
Application software.
Graphic design.
Mathematics.
Visualization.
Control, Robotics, Mechatronics.
Artificial Intelligence.
Computer-Aided Engineering (CAD, CAE) and Design.
Information Systems Applications (incl. Internet).
Interaction Design.
Visualization.
Intelligent Systems, Control and Automation: Science and Engineering