Volume 12604
Lecture Notes in Computer Science Information Systems and Applications, incl. Internet/Web, and HCI
Editorial Board
Elisa Bertino
Purdue University, West Lafayette, IN, USA
Wen Gao
Peking University, Beijing, China
Bernhard Steffen
TU Dortmund University, Dortmund, Germany
Gerhard Woeginger
RWTH Aachen, Aachen, Germany
Moti Yung
Columbia University, New York, NY, USA
Founding Editors
Gerhard Goos
Karlsruhe Institute of Technology, Karlsruhe, Germany
Juris Hartmanis
Cornell University, Ithaca, NY, USA
More information about this subseries at http://www.springer.com/series/7409 The series Lecture Notes in Computer Science (LNCS), including its subseries Lecture Notes in Artificial Intelligence (LNAI) and Lecture Notes in Bioinformatics (LNBI), has established itself as a medium for the publication of new developments in computer science and information technology research and teaching.
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Editors
Asbjrn Flstad , Theo Araujo , Symeon Papadopoulos , Effie L.-C. Law , Ewa Luger , Morten Goodwin and Petter Bae Brandtzaeg
Chatbot Research and Design
4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 2324, 2020, Revised Selected Papers
1st ed. 2021
Logo of the publisher
Editors
Asbjrn Flstad
SINTEF, Oslo, Norway
Theo Araujo
University of Amsterdam, Amsterdam, The Netherlands
Symeon Papadopoulos
CERTH-ITI, Thessaloniki, Greece
Effie L.-C. Law
University of Leicester, Leicester, UK
Ewa Luger
University of Edinburgh, Edinburgh, UK
Morten Goodwin
University of Agder, Grimstad, Norway
Petter Bae Brandtzaeg
University of Oslo, Oslo, Norway
ISSN 0302-9743 e-ISSN 1611-3349
Lecture Notes in Computer Science Information Systems and Applications, incl. Internet/Web, and HCI
ISBN 978-3-030-68287-3 e-ISBN 978-3-030-68288-0
https://doi.org/10.1007/978-3-030-68288-0
Springer Nature Switzerland AG 2021
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Preface
Introduction
Chatbots see continued uptake in a range of application areas. Spurred by interest from industry and service providers, chatbot research is a rapidly growing field with an exponential increase in scientific publications in the last few years. Research areas span from the examination of evolving patterns of use and user experience (UX) to conversational design and studies about the technologies underpinning chatbots such as natural language processing and machine learning. Research also increasingly addresses specific application areas and use cases. For example, research on social and relational chatbots is receiving growing attention; so are chatbots in areas such as customer service, education, health, and commerce. Research is also addressing the potential social implications of chatbots, exploring how chatbots impact individuals patterns of technology use, how chatbots can provide information and support in challenging situations such as the ongoing COVID-19 pandemic and how to facilitate compliance with ethical norms or avoid ethical and normative pitfalls in chatbot development and applications.
In consequence of the increased interest in chatbot research, and the potential social and industrial impact of conversational technology, there is a need to establish arenas for chatbot researchers and practitioners to share, discuss, and collaborate. This is particularly important given the interdisciplinary nature of this field of research, spanning disciplines within the humanities, social sciences, human-computer interaction, technology research, design, and management.
Motivated by this need, we established an international workshop series for chatbot researchers to share work and experiences with fellow researchers, students, and practitioners. CONVERSATIONS 2020 ( https://conversations2020.wordpress.com/ ) was the fourth event in this series, held on November 23-24, 2020. The University of Amsterdam hosted the workshop, in collaboration with SINTEF, CERTH, University of Leicester, University of Edinburgh, University of Agder, and University of Oslo. This year the workshop was organized as a fully virtual online event due to the COVID-19 pandemic. In total 150 participants from 31 countries registered for the online workshop.
Paper Invitation, Review, and Revision
We distributed the workshop call for papers to researchers in the field of chatbot research, and to relevant general mailing lists within fields such as human-computer interaction and information systems research. In the call for papers, three submission categories were outlined: Full papers, position papers, and demos. In total, 36 submissions were made to the workshop: 26 full papers, eight position papers, and two demos. A rigorous double-blind review process was conducted with three independent reviewers from the program committee providing detailed feedback on each submission. In addition, each paper was appointed a review lead from the group of workshop organizers coordinating the review process for the paper, proposing a decision recommendation, and providing meta-reviews for accepted papers. Acceptance decisions were made in a dedicated workshop organizers meeting.