Human Choice and Digital by Default: Autonomy vs Digital Determination

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Details

This book constitutes the refereed proceedings of the 15th IFIP TC 9 International Conference on Human Choice and Computers, HCC15 2022, in Tokyo, Japan, in September 2022.

The 17 full papers presented were carefully reviewed and selected from 32 submissions. Summaries of 2 keynote presentations are also included. The papers deal with the constantly evolving intimate relationship between humans and technology.



Inhalt
Promoting Worker Wellbeing in the Era of Data Economy.- Privacy of Employees in Internet of Things Ecosystems.- The Use of Live Facial Recognition Technology .- Repair of Unstable Sociomaterial Relations.- Autonomy Alliances and Data Care Practices.- An Analysis Between SNS and Social Capital Types in Japan.- Possible Utilization of Personal Data and Medical Care.- Examining the effect of web advertising on pupil size.- Behind the Data: Screening for Mental Issues.- Digitalsustainable co-transformation.- Don't be caught unaware: A Ransomware Primer.- A Study on AI Creations and Patent Law Protection.- General Monitoring and Constructive Knowledge?.- Comparison of Legal Systems for Data Portability.- Regulatory Frameworks in Developing Countries.- Application of International Law to Cyber Conflicts.- Privacy Protection during Criminal Investigations.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 236
    • Herausgeber Springer International Publishing
    • Gewicht 365g
    • Untertitel 15th IFIP International Conference on Human Choice and Computers, HCC 2022, Tokyo, Japan, September 8-9, 2022, Proceedings
    • Titel Human Choice and Digital by Default: Autonomy vs Digital Determination
    • Veröffentlichung 31.08.2023
    • ISBN 3031171381
    • Format Kartonierter Einband
    • EAN 9783031171383
    • Jahr 2023
    • Größe H235mm x B155mm x T13mm
    • Lesemotiv Verstehen
    • Editor David Kreps, Kaori Ishii, Taro Komukai, Robert Davison
    • Auflage 1st edition 2022
    • GTIN 09783031171383

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