New Frontiers in Human–Robot Interaction
Editors
| The University of Hertfordshire
| The University of Hertfordshire
Human–Robot Interaction (HRI) considers how people can interact with robots in order to enable robots to best interact with people. HRI presents many challenges with solutions requiring a unique combination of skills from many fields, including computer science, artificial intelligence, social sciences, ethology and engineering. We have specifically aimed this work to appeal to such a multi-disciplinary audience. This volume presents new and exciting material from HRI researchers who discuss research at the frontiers of HRI. The chapters address the human aspects of interaction, such as how a robot may understand, provide feedback and act as a social being in interaction with a human, to experimental studies and field implementations of human–robot collaboration ranging from joint action, robots practically and safely helping people in real world situations, robots helping people via rehabilitation and robots acquiring concepts from communication. This volume reflects current trends in this exciting research field.
[Advances in Interaction Studies, 2] 2011. vi, 332 pp.
Publishing status: Available
© John Benjamins Publishing Company
Table of Contents
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IntroductionKerstin Dautenhahn and Joe Saunders | pp. 1–6
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The human in the loop
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Helping robots imitate: Acknowledgment of, and adaptation to, the robot’s feedback to a human task demonstrationAris Alissandrakis, Dag Sverre Syrdal and Yoshihiro Miyake | pp. 9–34
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The role of expectations and situations in human-robot interactionManja Lohse | pp. 35–56
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Validating characterizations of sociality in HRI: It’s more than psychometricsPeter H. Kahn, Aimee L. Reichert, Brian T. Gill, Takayuki Kanda, Hiroshi Ishiguro and Jolina H. Ruckert | pp. 57–72
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Attitudes toward robots and factors influencing themTatsuya Nomura, Tomohiro Suzuki, Takayuki Kanda, Sachie Yamada and Kensuke Kato | pp. 73–88
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The USUS evaluation framework for user-centered HRIAstrid Weiss, Regina Bernhaupt and Manfred Tscheligi | pp. 89–110
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Toward making robots invisible-in-use: An exploration into invisible-in-use tools and agentsLeila Takayama | pp. 111–132
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Joint action, collaboration and communication
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A dynamic field approach to goal inference, error detection and anticipatory action selection in human-robot collaborationEstela Bicho, Wolfram Erlhagen, Luís Louro, Eliana Costa e Silva, Rui Silva and Nzoji Hipolito | pp. 135–164
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Accessing robot acceptance by motor interferenceAleksandra Kupferberg, Markus Huber and Stefan Glasauer | pp. 165–184
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Evaluation of robot body movements supporting communication: Towards HRI on the moveCristian Bogdan, Dominik Ertl, Helge Hüttenrauch, Michael Göller, Anders Green, Kerstin Severinson-Eklundh, Jürgen Falb and Hermann Kaindl | pp. 185–210
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The acquisition of word semantics by a humanoid robot via interaction with a human tutorJoe Saunders, Chrystopher L. Nehaniv and Caroline Lyon | pp. 211–234
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Communication robots: Application challenges of human-robot interactionTakayuki Kanda, Masahiro Shiomi and Norihiro Hagita | pp. 235–256
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Designing domestic robots with personalityBernt Meerbeek and Martin Saerbeck | pp. 257–278
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Robots in therapy, safety and communication
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Touch-triggered withdrawal reflexes for safer robotsTorbjørn S. Dahl, Erick A.R. Swere and Andrew Palmer | pp. 281–304
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Rehabilitation robotsFarshid Amirabdollahian | pp. 305–326
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Notes | pp. 327–328
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Index | pp. 329–332
Cited by
Cited by 13 other publications
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2019. What Can You See? Identifying Cues on Internal States From the Movements of Natural Social Interactions.
Frontiers in Robotics and AI 6
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Frontiers in Robotics and AI 8
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► pp. 76 ff.
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In Human-Robot Interaction [Springer Series on Bio- and Neurosystems, 12],
► pp. 177 ff.
This list is based on CrossRef data as of 24 may 2022. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.
Subjects & Metadata
Interaction Studies
Linguistics
Sociology
BIC Subject: UYQ – Artificial intelligence
BISAC Subject: COM004000 – COMPUTERS / Intelligence (AI) & Semantics