Editors:
- Critically reviews existing methods for evaluating the interaction between humans and social robots
- Reports on a number of good evaluation “case” studies for HRI
- Gives emphasis to the human, social and organizational aspects of the relationship with robots
Part of the book series: Springer Series on Bio- and Neurosystems (SSBN, volume 12)
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Table of contents (14 chapters)
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Front Matter
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Methodologies to Design Evaluations
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Front Matter
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Some Standardization Proposals
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Front Matter
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Recommendations and Conclusions
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Front Matter
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About this book
This book offers the first comprehensive yet critical overview of methods used to evaluate interaction between humans and social robots. It reviews commonly used evaluation methods, and shows that they are not always suitable for this purpose. Using representative case studies, the book identifies good and bad practices for evaluating human-robot interactions and proposes new standardized processes as well as recommendations, carefully developed on the basis of intensive discussions between specialists in various HRI-related disciplines, e.g. psychology, ethology, ergonomics, sociology, ethnography, robotics, and computer science. The book is the result of a close, long-standing collaboration between the editors and the invited contributors, including, but not limited to, their inspiring discussions at the workshop on Evaluation Methods Standardization for Human-Robot Interaction (EMSHRI), which have been organized yearly since 2015. By highlighting and weighing good and bad practices in evaluation design for HRI, the book will stimulate the scientific community to search for better solutions, take advantages of interdisciplinary collaborations, and encourage the development of new standards to accommodate the growing presence of robots in the day-to-day and social lives of human beings.
Keywords
- Human-robot Communication Models
- Statistical Methods for Human-robot Interaction
- Socially Interactive Robots
- Classifying Social Robots
- User Evaluation of Companion Robots
- Robot Prototype Trials
- Psychophysiological Measures in HRI
- Behavioral Measures in HRI
- Task Performance Metrics in HRI
- Large Scale Human Studies in HRI
- Validating Questionnaires for HRI Research
- Evaluating Child-robot Interaction
- Structured Interviews in HRI Research
- UX Evaluation in Social HRI
- Integrative Social Robotics
- Anthropomorphism in HRI
- Robust Experimental Design for HRI
- Long-term HRI
- EMSHRI Workshops
Editors and Affiliations
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University Paris 8, Saint-Denis, France
Céline Jost
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IUT de Vannes—Département STID, University of South Brittany, Vannes, France
Brigitte Le Pévédic
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IDLab—imec—ELIS, Ghent, Belgium
Tony Belpaeme
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Social, Therapeutic, and Robotic Systems Lab, Mississippi State University, Mississippi State, USA
Cindy Bethel
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Robotics and Automation Group, Aalborg University, Aalborg, Denmark
Dimitrios Chrysostomou
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Research and Knowledge Exchange, Faculty of Technology, Design and Environment, Oxford Brookes University, Oxford, UK
Nigel Crook
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Laboratoire Ethologie Animale et Humaine, Université Rennes 1, Paimpont, France
Marine Grandgeorge
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Center for Human-Computer Interaction, University of Salzburg, Salzburg, Austria
Nicole Mirnig
Bibliographic Information
Book Title: Human-Robot Interaction
Book Subtitle: Evaluation Methods and Their Standardization
Editors: Céline Jost, Brigitte Le Pévédic, Tony Belpaeme, Cindy Bethel, Dimitrios Chrysostomou, Nigel Crook, Marine Grandgeorge, … Nicole Mirnig
Series Title: Springer Series on Bio- and Neurosystems
DOI: https://doi.org/10.1007/978-3-030-42307-0
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-42306-3Published: 14 May 2020
Softcover ISBN: 978-3-030-42309-4Published: 14 May 2021
eBook ISBN: 978-3-030-42307-0Published: 13 May 2020
Series ISSN: 2520-8535
Series E-ISSN: 2520-8543
Edition Number: 1
Number of Pages: XLV, 385
Number of Illustrations: 19 b/w illustrations, 67 illustrations in colour
Topics: Social Sciences, general, Computational Intelligence, User Interfaces and Human Computer Interaction, Biotechnology, Artificial Intelligence