Human-Robot Interaction - Evaluation Methods and Their Standardization (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Series on Bio- and Neurosystems, 12
Release date:	May 2021
First published:	2020
Editors:	Celine Jost • Brigitte Le Pevedic • Tony Belpaeme • Cindy Bethel • Dimitrios Chrysostomou • Nigel Crook • Marine Grandgeorge • Nicole Mirnig
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	385
Edition:	1st ed. 2020
ISBN-13:	978-3-03-042309-4
Categories:	Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Professional & Technical > Biochemical engineering > Biotechnology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-042309-3
Barcode:	9783030423094

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