Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14199)
Included in the following conference series:
Conference proceedings info: CollabTech 2023.
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About this book
This book constitutes the refereed proceedings of the 29th International Conference on Collaboration Technologies and Social Computing, CollabTech 2023, held in Osaka, Japan, during August 29–September 1, 2023, in hybrid mode.
The 8 full papers presented in this book together with 12 short papers were carefully reviewed and selected from 31 submissions.The papers focus on innovative technical, human and organizational approaches to expand collaboration support including computer science, management science, design science, cognitive and social science.
Keywords
Table of contents (21 papers)
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Full Papers
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Work-in-Progress Papers
Other volumes
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Collaboration Technologies and Social Computing
Editors and Affiliations
Bibliographic Information
Book Title: Collaboration Technologies and Social Computing
Book Subtitle: 29th International Conference, CollabTech 2023, Osaka, Japan, August 29–September 1, 2023, Proceedings
Editors: Hideyuki Takada, D. Moritz Marutschke, Claudio Alvarez, Tomoo Inoue, Yugo Hayashi, Davinia Hernandez-Leo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-42141-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-42140-2Published: 23 August 2023
eBook ISBN: 978-3-031-42141-9Published: 21 August 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 236
Number of Illustrations: 17 b/w illustrations, 61 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Artificial Intelligence, Computer Applications, Software Engineering/Programming and Operating Systems, Computer Communication Networks, Information Storage and Retrieval