Human Factors in Privacy Research

Human Factors in Privacy Research / edited by Nina Gerber, Alina Stöver, Karola Marky.

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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. Subs...

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Bibliographic Details
:
Gerber, Nina.
TeilnehmendeR:
Stöver, Alina.
Marky, Karola.
Place / Publishing House:Cham : : Springer International Publishing :, Imprint: Springer,, 2023.
Year of Publication:2023
Edition:1st ed. 2023.
Language:English
Physical Description:1 online resource (380 pages)
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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.

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