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Titlebook: Human Factors in Privacy Research; Nina Gerber,Alina St?ver,Karola Marky Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-21 16:37:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Human Factors in Privacy Research
編輯Nina Gerber,Alina St?ver,Karola Marky
視頻videohttp://file.papertrans.cn/430/429167/429167.mp4
概述Offers detailed background information and summarizing checklists.Theoretical background offers an interdisciplinary perspective.Current research enables a comprehensive familiarization with the subje
圖書封面Titlebook: Human Factors in Privacy Research;  Nina Gerber,Alina St?ver,Karola Marky Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s)
描述.This?book covers topics needed to be considered in research around usable privacy. The book starts from a psychological perspective and introduces readers to basic behavioral theories and models that can explain end-user privacy behavior (including the “privacy paradox”) on a theoretical level. Subsequently, an introduction to different study methods (e.g., experiment, survey, interviews, co-creation) used in usable privacy research is given. Based on this, different methodological aspects, such as identifying appropriate questionnaires, and applying User-Centered Design, will be discussed. Finally, the book describes application areas for privacy research such as dark patterns and presents solutions for privacy protection, e.g., regarding consent-giving and PETs. The book aims to bring together the different research approaches to the topic of usable privacy, which often originate from computer science, psychology, and law, and provide a methodologically sound basis for researchers who want to delve deeper into this topic..This is an open access book..
出版日期Book‘‘‘‘‘‘‘‘ 2023
關(guān)鍵詞Human factors; Human-Machine Interaction; Privacy research; usable privacy; theory of planned behavior; r
版次1
doihttps://doi.org/10.1007/978-3-031-28643-8
isbn_softcover978-3-031-28645-2
isbn_ebook978-3-031-28643-8
copyrightThe Editor(s) (if applicable) and The Author(s) 2023
The information of publication is updating

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發(fā)表于 2025-3-21 23:55:48 | 只看該作者
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發(fā)表于 2025-3-22 01:52:41 | 只看該作者
Toward Valid and Reliable Privacy Concern Scales: The Example of IUIPC-8yielding validity, and to measure this consistently, offering us reliability. While there is a range of privacy concern instruments available in the field and their investigation continues unabated, we shall focus on a brief form of the scale Internet users? Information privacy concerns (IUIPC-8) as
地板
發(fā)表于 2025-3-22 06:08:38 | 只看該作者
Achieving Usable Security and Privacy Through Human-Centered Designrd proposes a procedure for systematically involving users. However, due to its abstraction level, the HCD process provides little guidance for how it should be implemented in practice. In this chapter, we propose three concrete practical methods that enable the reader to develop usable security and
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發(fā)表于 2025-3-22 10:22:26 | 只看該作者
What HCI Can Do for (Data Protection) Law—Beyond Designemselves, or the legal standards of their implementation, however, typically remain unquestioned in the design process. This way, HCI falls short of its potential to inform regulation with insights on human expectations, attitudes, and behavior in the real world, to make law more effective. In this
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發(fā)表于 2025-3-23 01:33:43 | 只看該作者
“They see me scrollin”—Lessons Learned from Investigating Shoulder Surfing Behavior and Attack Mitighere an adversary observes another user’s interaction without prior consent, remains a significant unresolved problem. In the past, researchers have primarily focused their research on making authentication more robust against shoulder surfing—with less emphasis on understanding the attacker or thei
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發(fā)表于 2025-3-23 08:42:14 | 只看該作者
Privacy Research on the Pulse of Time: COVID-19 Contact-Tracing Apps tested positive for the virus, a method called contact tracing. Depending on how automated tracing is implemented, it is necessary to capture and store sensitive information about the user, such as where the user has been, who they were in contact with, and their health status. All of this entails
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