In this paper, we run a series of experiments in order to investigate one possible cause of inconsistency in people’s behavior and concerns regarding online privacy. Even though individuals claim that privacy is very important, many end up revealing considerable private information in online...

Among the many factors that can elicit privacy concerns and affect privacy behavior, some are sensorial: detecting the presence of others through our senses. Human beings may be wired to react to sensorial cues and rely, in part, on them to assess the privacy ramifications of their actions....

Cryptographic access control tools for online social networks (CACTOS) allow users to enforce their privacy settings online without relying on the social network provider or any other third party. Many such tools have been proposed in the literature, some of them implemented and currently...

The success of Amazon Mechanical Turk (MTurk) as an online research platform has come at a price: MTurk exhibits slowing rates of population replenishment, and growing participants’ non-naivety. Recently, a number of alternative platforms have emerged, offering capabilities similar to MTurk...

Privacy decision making has been examined from various perspectives. A dominant “normative” perspective has focused on rational processes by which consumers with stable preferences for privacy weigh the expected benefits of privacy choices against their potential costs. More recently, an...

Contrary to the assumption in much social science research that people have stable, coherent, preferences with respect to privacy, we find that concern about privacy, measured by divulgence of private information, is highly sensitive to contextual factors. We report results from 3 experiments,...

This paper investigates one possible explanation for people’s conflicting attitudes regarding protection of private information. The proliferation of studies about crimes such as identity theft and cyber-stalking, together with the sharp increase in the number of victims, and the easiness with...

We examine the trade-off between functionality and data privacy inherent in many AI products by conducting a randomized survey experiment with 1,734 participants from the US and several European countries. Participants' willingness to adopt a hypothetical, AI-enhanced app is measured under three...

We examine the trade-off between functionality and data privacy inherent in many AI products by conducting a randomized survey experiment with 1,734 participants from the US and several European countries. Participants' willingness to adopt a hypothetical, AI-enhanced app is measured under three...