New Frontiers in Human–Robot Interaction
Editors
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
Averta, Giuseppe
2022. Learning from Humans How to Grasp: A Reactive-Based Approach. In Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices [Springer Tracts in Advanced Robotics, 145], ► pp. 185 ff. 
Bartlett, Madeleine E., Charlotte E. R. Edmunds, Tony Belpaeme, Serge Thill & Séverin Lemaignan
2019. What Can You See? Identifying Cues on Internal States From the Movements of Natural Social Interactions. Frontiers in Robotics and AI 6
de Graaf, Maartje M. A., Somaya Ben Allouch & Jan A. G. M. van Dijk
2019. Why Would I Use This in My Home? A Model of Domestic Social Robot Acceptance. Human–Computer Interaction 34:2 ► pp. 115 ff.
Fink, Julia
2012. Anthropomorphism and Human Likeness in the Design of Robots and Human-Robot Interaction. In Social Robotics [Lecture Notes in Computer Science, 7621], ► pp. 199 ff.
Hemeren, Paul, Peter Veto, Serge Thill, Cai Li & Jiong Sun
2021. Kinematic-Based Classification of Social Gestures and Grasping by Humans and Machine Learning Techniques. Frontiers in Robotics and AI 8
Koeszegi, Sabine T. & Astrid Weiss
2021. Mein neuer Teamkollege ist ein Roboter! Wie soziale Roboter die Zukunft der Arbeit verändern können. In CSR und Künstliche Intelligenz [Management-Reihe Corporate Social Responsibility, ], ► pp. 279 ff.
Krishnaswamy, Kavita & Tim Oates
2014. Pathway to Independence. In Disability Informatics and Web Accessibility for Motor Limitations [Advances in Medical Technologies and Clinical Practice, ], ► pp. 153 ff.
Krishnaswamy, Kavita & Tim Oates
2016. Pathway to Independence. In Special and Gifted Education, ► pp. 1444 ff.
Küppers, E. W. Udo
2018. Arbeiten und arbeiten lassen – Kämpfen und Kooperieren um Arbeit. In Die humanoide Herausforderung, ► pp. 305 ff.
Leitner, Jurgen, Simon Harding, Mikhail Frank, Alexander Forster & Jurgen Schmidhuber
2012. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, ► pp. 1507 ff.
Matellán, Vicente & Camino Fernández
2014. What downgrades a robot from pet to appliance?. Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems 15:2 ► pp. 210 ff.
Takahashi, Natalie Mie & Plinio Thomaz Aquino Junior
2018. Adaptive Interface Combined to Interface Patterns in Human Factors. In Advances in Human Factors, Software, and Systems Engineering [Advances in Intelligent Systems and Computing, 598], ► pp. 76 ff.
Wallström, Josefine & Jessica Lindblom
2020. Design and Development of the USUS Goals Evaluation Framework. In Human-Robot Interaction [Springer Series on Bio- and Neurosystems, 12], ► pp. 177 ff.
This list is based on CrossRef data as of 12 april 2024. 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
Interaction Studies
Linguistics
Sociology
Main BIC Subject
UYQ: Artificial intelligence
Main BISAC Subject
COM004000: COMPUTERS / Intelligence (AI) & Semantics