Linked e-resources
Details
Table of Contents
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.
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.