000			03956nam a22003015i 4500
001			403196
003			ES-MaUEC
005			20240603113733.0
007			cr nn 008mamaa
008			230816s2023 sz | o |||| 0|eng d
020			_a9783031286438
024	7		_a10.1007/978-3-031-28643-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aBF1-990 _b2023 EB
245	1	0	_aHuman Factors in Privacy Research _cedited by Nina Gerber, Alina Stöver, Karola Marky
250			_a1st ed. 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aForward -- About this book -- Acknowledgements -- Part I Theory -- Chapter 1 Data Collection Isn't Mostly Harmless: An Introduction to Privacy Theories and Basics -- Chapter 2 From the Privacy Calculus to Crossing the Rubicon: An Introduction to Theoretical Models of User Privacy Behavior -- Part II Methodology -- Chapter 3 Empirical Research Methods in Usable Privacy and Security -- Chapter 4 Towards Valid and Reliable Privacy Concern Scales: The Example of IUIPC-8 -- Chapter 5 Achieving Usable Security and Privacy through Human-Centered Design -- Chapter 6 What HCI Can Do for (Data Protection) Law - Beyond Design -- Chapter 7 Expert Opinions as a Method of Validating Ideas: Applied to Making GDPR Usable -- Part III Applicable Areas -- Chapter 8 Privacy Nudges and Informed Consent? - Challenges for Privacy Nudge Design -- Chapter 9 The Hows and Whys of Dark Patterns: Categorizations and Privacy -- Chapter 10 "They see me scrolling" - Lessons Learned From Investigating Shoulder Surfing Behavior and Attack Mitigation Strategies -- Chapter 11 Privacy Research on the Pulse of Time: COVID-19 Contact Tracing Apps -- Chapter 12 Privacy Perception and Behavior in Safety-Critical Environments -- Part IV Solutions -- Chapter 13 Generic Consents in Digital Ecosystems: Legal, Psychological and Technical Perspectives -- Chapter 14 Human-Centered Design for Data-Sparse Tailored Privacy Information Provision -- Chapter 15 Acceptance Factors of Privacy Enhancing Technologies on the Basis of Tor and JonDonym -- Chapter 16 Increasing Users' Privacy Awareness in the Internet of Things: Design Space and Sample Scenarios -- Chapter 17 Challenges, Conflicts and Solution Strategies for the Introduction of Corporate Data Protection Measures -- Chapter 18 Data Cart - A Privacy Pattern for Personal Data Management in Organizations.
506	0		_aOpen Access
520			_aThis 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.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-28643-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Psychology_2023
999			_c403196 _d403196