Wake Up and Talk with Me! In-the-Field Study of an Autonomous Interactive Wake Up Robot
In this paper, we present a robot that is designed to smoothly wake up a user in the morning. We created an autonomous interactive wake up robot that implements a wake up behavior that was selected through preliminary experiments. We conducted a user stud
- PDF / 77,765,372 Bytes
- 727 Pages / 439.37 x 666.142 pts Page_size
- 49 Downloads / 208 Views
		    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
 
 123
 
 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
 
 12483
 
 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.) •
 
 •
 
 •
 
 •
 
 •
 
 •
 
 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		
 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	