New Frontiers in Human–Robot Interaction

Editors

Kerstin Dautenhahn

| The University of Hertfordshire

Joe Saunders

| The University of Hertfordshire

Hardbound – Available

ISBN 9789027204554 | EUR 99.00 | USD 149.00

e-Book –

ISBN 9789027283399 | EUR 99.00 | USD 149.00

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

https://doi.org/10.1075/ais.2

Table of Contents

Introduction Kerstin Dautenhahn and Joe Saunders	1–6
The human in the loop
Helping robots imitate: Acknowledgment of, and adaptation to, the robot’s feedback to a human task demonstration Aris Alissandrakis, Dag Sverre Syrdal and Yoshihiro Miyake	9–34
The role of expectations and situations in human-robot interaction Manja Lohse	35–56
Validating characterizations of sociality in HRI: It’s more than psychometrics Peter H. Kahn, Jr., Aimee L. Reichert, Brian T. Gill, Takayuki Kanda, Hiroshi Ishiguro and Jolina H. Ruckert	57–72
Attitudes toward robots and factors influencing them Tatsuya Nomura, Tomohiro Suzuki, Takayuki Kanda, Sachie Yamada and Kensuke Kato	73–88
The USUS evaluation framework for user-centered HRI Astrid Weiss, Regina Bernhaupt and Manfred Tscheligi	89–110
Toward making robots invisible-in-use: An exploration into invisible-in-use tools and agents Leila Takayama	111–132
Joint action, collaboration and communication
A dynamic field approach to goal inference, error detection and anticipatory action selection in human-robot collaboration Estela Bicho, Wolfram Erlhagen, Luís Louro, Eliana Costa e Silva, Rui Silva and Nzoji Hipolito	135–164
Accessing robot acceptance by motor interference Aleksandra Kupferberg, Markus Huber and Stefan Glasauer	165–184
Evaluation of robot body movements supporting communication: Towards HRI on the move Cristian Bogdan, Dominik Ertl, Helge Hüttenrauch, Michael Göller, Anders Green, Kerstin Severinson-Eklundh, Jürgen Falb and Hermann Kaindl	185–210
The acquisition of word semantics by a humanoid robot via interaction with a human tutor Joe Saunders, Chrystopher L. Nehaniv and Caroline Lyon	211–234
Communication robots: Application challenges of human-robot interaction Takayuki Kanda, Masahiro Shiomi and Norihiro Hagita	235–256
Designing domestic robots with personality Bernt Meerbeek and Martin Saerbeck	257–278
Robots in therapy, safety and communication
Touch-triggered withdrawal reflexes for safer robots Torbjørn S. Dahl, Erick A.R. Swere and Andrew Palmer	281–304
Rehabilitation robots Farshid Amirabdollahian	305–326
Notes	327–328
Index	329–332

Cited by

Cited by 10 other publications

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. In Social Robotics [Lecture Notes in Computer Science, 7621], ► pp. 199 ff.

Krishnaswamy, Kavita & Tim Oates

2014. In Disability Informatics and Web Accessibility for Motor Limitations [Advances in Medical Technologies and Clinical Practice, ], ► pp. 153 ff.

Krishnaswamy, Kavita & Tim Oates

2016. In Special and Gifted Education, ► pp. 1444 ff.

Küppers, E. W. Udo

2018. In Die humanoide Herausforderung, ► pp. 305 ff.

Leitner, Jurgen, Simon Harding, Mikhail Frank, Alexander Forster & Jurgen Schmidhuber

2012. In 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. In Advances in Human Factors, Software, and Systems Engineering [Advances in Intelligent Systems and Computing, 598], ► pp. 76 ff.

Wallström, Josefine & Jessica Lindblom

2020. In Human-Robot Interaction [Springer Series on Bio- and Neurosystems, 12], ► pp. 177 ff.

This list is based on CrossRef data as of 07 february 2021. 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

Computational & corpus linguistics

Sociology

BIC Subject: UYQ – Artificial intelligence

BISAC Subject: COM004000 – COMPUTERS / Intelligence (AI) & Semantics

U.S. Library of Congress Control Number: 2011033759 | Marc record