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Effects of Data Overload on User Quality of Experience

ISBN-13: 9783031068690 / Angielski / Twarda / 2022

Josephina Antoniou;Orestis Tringides
Effects of Data Overload on User Quality of Experience Josephina Antoniou, Orestis Tringides 9783031068690 Springer International Publishing - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Effects of Data Overload on User Quality of Experience

ISBN-13: 9783031068690 / Angielski / Twarda / 2022

Josephina Antoniou;Orestis Tringides
cena 524,53 zł
(netto: 499,55 VAT:  5%)

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This book introduces a unique perspective on the use of data from popular emerging technologies and the effect on user quality of experience (QoE). The term data is first refined into specific types of data such as financial data, personal data, public data, context data, generated data, and the popular big data. The book focuses the responsible use of data, with consideration to ethics and wellbeing, in each setting. The specific nuances of different technologies bring forth interesting case studies, which the book breaks down into mathematical models so they can be analyzed and used as powerful tools. Overall, this perspective on the use of data from popular emerging technologies and the resulting QoE analysis will greatly benefit researchers, educators and students in fields related to ICT studies, especially where there is additional interest in ethics and wellbeing, user experience, data management, and their link to emerging technologies.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Telecommunications
Computers > User Interfaces
Computers > Data Science - General
Wydawca:
Springer International Publishing
Seria wydawnicza:
EAI/Springer Innovations in Communication and Computing
Język:
Angielski
ISBN-13:
9783031068690
Rok wydania:
2022
Waga:
0.38 kg
Wymiary:
23.5 x 15.5
Oprawa:
Twarda
Dodatkowe informacje:
Wydanie ilustrowane

Responsible Innovation in Technology and Quality of Experience

1.1 Introducing Quality of Experience
1.2 Quality of Experience Challenges
1.3 Responsible Technology
1.4 An ethics perspective of responsible technology
1.5 Technology and Society
1.6 Conclusive Remarks
Financial Data, Blockchain, decision-making and Quality of Experience
2.1 Financial Data, Blockchain and Game Theory
2.1.1 Financial Data and Blockchain
2.1.2 Blockchain and Game Theory
2.1.1 Introducing the Blockchain Scenario
2.1.2 The Blockchain Scenario Game
2.1.3 The Iterative Blockchain Scenario Game
2.2 Summary and Conclusions
Personal Data, Cloud Platforms, Privacy and Quality of Experience
3.1 Introducing use of data on the Cloud
3.2 Security risks and mitigation measures of storing data on the Cloud
3.2.1 Encrypted data and other data protection approaches
3.3 Cloud Data Scenario
3.4 Introducing relevant game theoretic tools
3.4.1 Single-player stochastic games
3.4.2 Stochastic games with more than one player
3.5 Summary and conclusions
Public Data, Media Platforms, wellbeing, and Quality of Experience
4.1 Introduction
4.2 About Social Media Platforms
4.3 The infodemic in relation to social media platforms
4.3.1 Accurate and true information
4.4 The info-rating model
4.4.1 Motivating engagement with the mechanism
4.5 Summary and Conclusions
Generated Data, Artificial Intelligence, power asymmetries and Quality of Experience
5.1 Smart Information Systems and power asymmetries
5.2 Introducing Synthetic Data
5.3 Specific aspects to consider when using synthetic data
5.4 Types and uses of synthetic data
5.5 Using game theory to model a synthetic data scenario
5.5.1 The Voting Game and Payoffs to Groups of Players
5.5.2 The Synthetic Data Game
5.5.3 Analysing Payoffs in the Synthetic Data Game
5.5.4 Power asymmetries in payoff contributions
5.6 Summary and conclusions
Big Data, Analytics, transparency and Quality of Experience
6.1 Big Data, Analytics and trust
6.2 On the benefits of big data analytics
6.3 Risks linked with the use of Big Data
6.4 Considering User Context and Transparency
6.5 On the regulation of Big Data
6.6 Big Data and Ethical Concerns
6.7 Some Conclusions
Context Data, The Internet of Things, security and Quality of Experience
7.1 The Internet of Things
7.1.1 The Ethics of IoT different Contexts
7.1.2 Ethical Resolutions
7.1.3 Considering the ethics of development and use of IoT
7.2 IoT and context data
7.3 Summary and Conclusions

Josephina Antoniou is an Assistant Professor of Computing and the Course Leader of the MSc Computing course at UCLan Cyprus, School of Sciences. She is also the Chair of the ACM-W (Association for Computing Machinery Women) Cyprus chapter and fellow of the Higher Education Academy in the UK since 2015. She is a member of National Bioethics Committee in Cyprus since 2018, and in 2020 served as the Vice-President of the sub-committee for the Assessment of Biomedical Research. She is also a member of Interdisciplinary Science Promotion & Innovative Research Exploration Centre (InSPIRE) at UCLan Cyprus, since its inception. She has received her PhD in Computer Science from the Department of Computer Science of the University of Cyprus in 2010, her MSc in Advanced Computer Technologies also from the University of Cyprus in 2004, and her BA in Computer Science and Mathematics from Wartburg College, IA, USA in 2002. She has participated as the leader of tasks and work packages in FP6/FP7/H2020 and Erasmus+ projects SEACORN, B-BONE, C-MOBILE, C-CAST, Responsible Industry, COMPASS, SHERPA, IREEDER, GReFORM and MentorME. She has also been involved in COST IC1004: Cooperative Radio Communications for Green Smart Environments (2011-2015) and in FP7-PEOPLE Marie Curie – International Reintegration Grant: 3D UNDERWORLD (2011-2012). She is one of the organizers of the Cyprus National Penetration Testing/Ethical Hacking competition since 2015, and the ACM/ICPC Local Director for the Cyprus national qualifying coding competition for ACM ICPC. She was the research lead for the School of Sciences at the university’s Research and Innovation Committee (2015-2018) and currently chairs the university’s Ethics subcommittee. She is the author of 3 books on Game Theoretic solutions for better Quality of Experience in communication networks, as well as the author of numerous peer-reviewed articles and book chapters, including recent articles on Ethics for Smart Information Systems. Her research interests span the areas of Communication Networks and Quality of Experience and more recently Ethics and Responsible Research in the emerging socially dominated communication systems. 

Orestis Tringides is a researcher and project manager at COMMEDIA, a community media organization based in Cyprus, and a radio producer at LemoniRadio.com. He is experienced in Tech journalism, radio production, academic research, civil society organizations and community media. He is a holder of an MBA, a MSc degree in information systems, and a BSc degree in computer science. His research interests span the areas of community media; technology, democracy and participation; conflict transformation.

This book introduces a unique perspective on the use of data from popular emerging technologies and the effect on user quality of experience (QoE). The term data is first refined into specific types of data such as financial data, personal data, public data, context data, generated data, and the popular big data. The book focuses the responsible use of data, with consideration to ethics and wellbeing, in each setting. The specific nuances of different technologies bring forth interesting case studies, which the book breaks down into mathematical models so they can be analyzed and used as powerful tools. Overall, this perspective on the use of data from popular emerging technologies and the resulting QoE analysis will greatly benefit researchers, educators and students in fields related to ICT studies, especially where there is additional interest in ethics and wellbeing, user experience, data management, and their link to emerging technologies.


  • Discusses quality of experience (QoE) as it relates to different applications of data technologies in the financial, personal, and public realms;
  • Provides new mathematical example models of scenarios of emerging technologies, to explore the technologies themselves and to resolve the data-related issues;
  • Includes both technical and non-technical perspectives to highlight the inter-disciplinary nature of QoE and analyzes them from different points of view.



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