Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus

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Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals (2016, background): “Furthermore, there is evidence that when given the appropriate tools, people will choose to give up some of the benefits they derive from their social network activity to meet their privacy concerns.(19) Besides being a conceptual tool to help with the analysis of control, the cloaking device can be”
Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus (2015, methodology): “perceived relevance (Knijnenburg et al., 2013), the conceptual and methodological separation of dispositions and situational factors may help scholars to better understand and investigate the exact interplay of privacy-related constructs.”
Engineering Information Disclosure: Norm Shaping Designs (2016, background): “Work in human-computer interaction and computer-supported cooperative work has sought to understand the drivers behind information disclosure such as “folk models” ([37]), privacy concerns (e.g., [29]) and preference models (e.g., [19, 20]).”
Tales from the Dark Side: Privacy Dark Strategies and Privacy Dark Patterns (2016, background): “, by increasing knowledge about privacy dark strategies as advocated by this paper, or by implementing tools that reduce automatic provision of private information [31]).”