LEADER 05478nam 22008295 450 001 9910737294903321 005 20240213212338.0 010 $a3-031-28643-X 024 7 $a10.1007/978-3-031-28643-8 035 $a(CKB)5700000000428119 035 $a(MiAaPQ)EBC30702982 035 $a(Au-PeEL)EBL30702982 035 $a(DE-He213)978-3-031-28643-8 035 $a(OCoLC)1395077403 035 $a(EXLCZ)995700000000428119 100 $a20230816d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Factors in Privacy Research$b[electronic resource] /$fedited by Nina Gerber, Alina Stöver, Karola Marky 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (380 pages) 311 $a3-031-28642-1 327 $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. 330 $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. 606 $aPsychology 606 $aCognitive science 606 $aComputer science 606 $aHuman-machine systems 606 $aData protection$xLaw and legislation 606 $aArtificial intelligence 606 $aBehavioral Sciences and Psychology 606 $aCognitive Science 606 $aComputer Science 606 $aHuman-Machine Interfaces 606 $aPrivacy 606 $aArtificial Intelligence 606 $aCiència cognitiva$2thub 606 $aSistemes persona-màquina$2thub 606 $aProtecció de dades$2thub 606 $aIntel·ligència artificial$2thub 608 $aLlibres electrònics$2thub 615 0$aPsychology. 615 0$aCognitive science. 615 0$aComputer science. 615 0$aHuman-machine systems. 615 0$aData protection$xLaw and legislation. 615 0$aArtificial intelligence. 615 14$aBehavioral Sciences and Psychology. 615 24$aCognitive Science. 615 24$aComputer Science. 615 24$aHuman-Machine Interfaces. 615 24$aPrivacy. 615 24$aArtificial Intelligence. 615 7$aCiència cognitiva 615 7$aSistemes persona-màquina 615 7$aProtecció de dades 615 7$aIntel·ligència artificial 676 $a150 700 $aGerber$b Nina$01424248 701 $aStöver$b Alina$01424249 701 $aMarky$b Karola$01424250 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910737294903321 996 $aHuman Factors in Privacy Research$93553382 997 $aUNINA