Dr. Nina Gerber (Technical University of Darmstadt) currently is a postdoctoral researcher at the Technical University of Darmstadt and within ATHENE - the German National Centre for Applied Cybersecurity. Her research interests are primarily in the areas of usable privacy & security, including social aspects of privacy and security, informed consent, UX design, and persuasion.

Alina Stöver (Technical University of Darmstadt) is a doctoral researcher at the Technical University of Darmstadt and within the Research Training Group "Privacy and Trust for Mobile Users". Her research interest lies in the field of usable privacy & security, where she focuses on the perspectives of different stakeholders.

Prof. Dr. Karola (Marky Ruhr University Bochum) is an associate professor at the Ruhr University Bochum where she leads the Digital Sovereignty research group. Her research is focused on Usable Security and Privacy with a focus on the daily lives of individuals, social aspects, and hedonic interaction quality.

Offers detailed background information and summarizing checklists

Theoretical background offers an interdisciplinary perspective

Current research enables a comprehensive familiarization with the subject

This book is open access

Forward.- 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.