The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

“Notice and choice” is the predominant approach for data privacy protection today. There is
considerable user-centered research on providing effective privacy notices but not enough …

In present-day in consumers' homes, there are millions of Internet-connected devices that
are known to jointly represent the Internet of Things (IoT). The development of the IoT …

Internet of Things (IoT) devices create new ways through which personal data is collected
and processed by service providers. Frequently, end users have little awareness of, and …

Sensing technologies deployed in the workplace can unobtrusively collect detailed data
about individual activities and group interactions that are otherwise difficult to capture. A …

Increasingly, icons are being proposed to concisely convey privacy-related information and
choices to users. However, complex privacy concepts can be difficult to communicate. We …

New concepts based on the Internet of Things propose the integration of the human factor as
a key component of novel interconnected ecosystems, to offer them new services and …

Companies face a trade-off between creating stronger privacy protection policies for
consumers and employing more sophisticated data collection methods. Justice-driven …

Standardized privacy labels that succinctly summarize those data practices that people are
most commonly concerned about offer the promise of providing users with more effective …