Effects of Data Overload on User Quality of Experience

[LeeAndro]

English | 2022 | ISBN: 3031068696 | 132 pages | PDF | 2.4 MB

This book introduces a unique perspective on the use of data from popular emeg 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 emeg 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 emeg technologies.



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