Choosing the Best Robot for the Job: Affinity Bias in Human-Robot Interaction
Humans subconsciously judge others as being either similar or dissimilar to themselves, manifesting as an unconscious preference, or affinity bias, for those who are perceived to be similar. In human-to-human interaction, affinity bias can significantly i
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Alan R. Wagner · David Feil-Seifer · Kerstin S. Haring · Silvia Rossi · Thomas Williams · Hongsheng He · Shuzhi Sam Ge (Eds.)
Social Robotics 12th International Conference, ICSR 2020 Golden, CO, USA, November 14–18, 2020 Proceedings
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Alan R. Wagner David Feil-Seifer Kerstin S. Haring Silvia Rossi Thomas Williams Hongsheng He Shuzhi Sam Ge (Eds.) •
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Social Robotics 12th International Conference, ICSR 2020 Golden, CO, USA, November 14–18, 2020 Proceedings
123
Editors Alan R. Wagner Pennsylvania State University University Park, PA, USA
David Feil-Seifer University of Nevada Reno Reno, NV, USA
Kerstin S. Haring University of Denver Denver, CO, USA
Silvia Rossi University of Naples Federico II Naples, Italy
Thomas Williams Colorado School of Mines Golden, CO, USA
Hongsheng He Wichita State University Wichita, KS, USA
Shuzhi Sam Ge National University of Singapore Singapore, Singapore
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-62055-4 ISBN 978-3-030-62056-1 (eBook) https://doi.org/10.1007/978-3-030-62056-1 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
This book constitutes the refereed p
