Human-Centric Computing in a Data-Driven Society
14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020, Tokyo, Japan, September 9–11, 2020, Proceedings
Editors: Kreps, D., Komukai, T., Gopal, T., Ishii, K. (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020, which was supposed take place in Tokyo, Japan, in September 2020, but the conference was cancelled due to the COVID-19 crisis.
The 31 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with the constantly evolving intimate relationship between humans and technology. They are organized in the following sections: ethical and legal considerations in a data-driven society; the data-driven society; peace and war; our digital lives; individuals in data-driven society; and gender, diversity and ICT.
- Table of contents (31 chapters)
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A Study on Abusing Superior Bargaining Position in the Anti-Monopoly Act and Its Relation to the Act on the Protection of Personal Information in Japan
Pages 5-15
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The Laws of Big Data
Pages 16-28
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The Legal Frameworks of the Right to Request the Deletion of Personal Data in the EU, the U.S. and Japan and the Right to Be Forgotten: A Study Focusing on Search Businesses
Pages 29-40
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Examining the Possibility of Expanding the Use of Digital Images Recorded in the “Audio-Visual Recording of Custodial Interrogation” System
Pages 41-51
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Governance Framework for Facial Recognition Systems in Japan
Pages 52-63
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Table of contents (31 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Human-Centric Computing in a Data-Driven Society
- Book Subtitle
- 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020, Tokyo, Japan, September 9–11, 2020, Proceedings
- Editors
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- David Kreps
- Taro Komukai
- TV Gopal
- Kaori Ishii
- Series Title
- IFIP Advances in Information and Communication Technology
- Series Volume
- 590
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- IFIP International Federation for Information Processing
- eBook ISBN
- 978-3-030-62803-1
- DOI
- 10.1007/978-3-030-62803-1
- Hardcover ISBN
- 978-3-030-62802-4
- Series ISSN
- 1868-4238
- Edition Number
- 1
- Number of Pages
- XI, 409
- Number of Illustrations
- 14 b/w illustrations, 33 illustrations in colour
- Topics
