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Titlebook: Effects of Data Overload on User Quality of Experience; Josephina Antoniou,Orestis Tringides Book 2023 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 18:04:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Effects of Data Overload on User Quality of Experience
編輯Josephina Antoniou,Orestis Tringides
視頻videohttp://file.papertrans.cn/303/302849/302849.mp4
概述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 o
叢書名稱EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Effects of Data Overload on User Quality of Experience;  Josephina Antoniou,Orestis Tringides Book 2023 The Editor(s) (if applicable) and T
描述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..
出版日期Book 2023
關(guān)鍵詞Quality of Experience; Media and Quality of Experience; AI and Quality of Experience; IoT and Quality o
版次1
doihttps://doi.org/10.1007/978-3-031-06870-6
isbn_softcover978-3-031-06872-0
isbn_ebook978-3-031-06870-6Series ISSN 2522-8595 Series E-ISSN 2522-8609
issn_series 2522-8595
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:53:19 | 只看該作者
Nayeli Salgado,Ricardo Apariciocan provide. Storage as a service is a popular service on a cloud platform that will be explored in the chapter.?The chapter further models the interaction between a data?owner and a malicious attacker who is?after the data, as a grid game, in order to demonstrate the importance of securing data on the cloud.
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發(fā)表于 2025-3-22 09:54:21 | 只看該作者
Financial Data, Blockchain, Decision-Making and Quality of Experience,lockchain design.?The chapter proposes a model for the process of mining in a cryptocurrency system. In the process of mining, miners have to create and publish blocks and within those steps, they can decide to be honest or dishonest about their progress with the block validation. Game theory helps us explore motivations for different decisions.
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發(fā)表于 2025-3-22 13:50:03 | 只看該作者
Public Data, Media Platforms, Well-Being and Quality of Experience, looking for information, they will often turn to the most immediate and accessible source, such as social media. However, the set of information on social media is in essence, user-generated content. This can result in misinformation and larger social issues in times of crisis.
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發(fā)表于 2025-3-22 19:35:58 | 只看該作者
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發(fā)表于 2025-3-23 00:08:23 | 只看該作者
Context Data, the Internet of Things, Security and Quality of Experience, without human intervention.?A number of ethical values often come across when we discuss the potential of IoT technology and its challenges. These values are further explored in the chapter in relation to IoT.
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發(fā)表于 2025-3-23 01:58:23 | 只看該作者
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發(fā)表于 2025-3-23 08:57:58 | 只看該作者
Generated Data, Artificial Intelligence, Power Asymmetries and Quality of Experience,er discusses the challenges of such systems. For instance, training an AI model requires a huge amount?of data, which is not always available. A solution to using existing datasets as they are?is to use?generated/synthetic data. This is further investigated and modelled in this chapter.
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