E-Book, Englisch, 127 Seiten, eBook
Reihe: EAI/Springer Innovations in Communication and Computing
Antoniou / Tringides Effects of Data Overload on User Quality of Experience
1. Auflage 2023
ISBN: 978-3-031-06870-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 127 Seiten, eBook
Reihe: EAI/Springer Innovations in Communication and Computing
ISBN: 978-3-031-06870-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Responsible Innovation in Technology and Quality of Experience1.1 Introducing Quality of Experience1.2 Quality of Experience Challenges1.3 Responsible Technology1.4 An ethics perspective of responsible technology1.5 Technology and Society1.6 Conclusive RemarksFinancial Data, Blockchain, decision-making and Quality of Experience2.1 Financial Data, Blockchain and Game Theory2.1.1 Financial Data and Blockchain2.1.2 Blockchain and Game Theory2.1.1 Introducing the Blockchain Scenario2.1.2 The Blockchain Scenario Game2.1.3 The Iterative Blockchain Scenario Game2.2 Summary and ConclusionsPersonal Data, Cloud Platforms, Privacy and Quality of Experience3.1 Introducing use of data on the Cloud3.2 Security risks and mitigation measures of storing data on the Cloud3.2.1 Encrypted data and other data protection approaches3.3 Cloud Data Scenario3.4 Introducing relevant game theoretic tools3.4.1 Single-player stochastic games3.4.2 Stochastic games with more than one player3.5 Summary and conclusionsPublic Data, Media Platforms, wellbeing, and Quality of Experience4.1 Introduction4.2 About Social Media Platforms4.3 The infodemic in relation to social media platforms4.3.1 Accurate and true information4.4 The info-rating model4.4.1 Motivating engagement with the mechanism4.5 Summary and ConclusionsGenerated Data, Artificial Intelligence, power asymmetries and Quality of Experience5.1 Smart Information Systems and power asymmetries5.2 Introducing Synthetic Data5.3 Specific aspects to consider when using synthetic data5.4 Types and uses of synthetic data5.5 Using game theory to model a synthetic data scenario5.5.1 The Voting Game and Payoffs to Groups of Players5.5.2 The Synthetic Data Game5.5.3 Analysing Payoffs in the Synthetic Data Game5.5.4 Power asymmetries in payoff contributions5.6 Summary and conclusionsBig Data, Analytics, transparency and Quality of Experience6.1 Big Data, Analytics and trust6.2 On the benefits of big data analytics6.3 Risks linked with the use of Big Data6.4 Considering User Context and Transparency6.5 On the regulation of Big Data6.6 Big Data and Ethical Concerns6.7 Some ConclusionsContext Data, The Internet of Things, security and Quality of Experience7.1 The Internet of Things7.1.1 The Ethics of IoT different Contexts7.1.2 Ethical Resolutions7.1.3 Considering the ethics of development and use of IoT7.2 IoT and context data7.3 Summary and Conclusions




