The potential abuse of dating applications (apps), including during the current lockdowns
due to COVID-19, has resulted in a growing community of research to learn to what extent …

Conversational AI (CAI) systems which encompass voice-and text-based assistants are on
the rise and have been largely integrated into people's everyday lives. Despite their …

Mobile Health (mHealth) apps, such as COVID-19 contact tracing and other health-
promoting technologies, help support personal and public health efforts in response to the …

People's posting behaviors in social networks was perceived as ambiguous, with concerns
misaligned with people's public postings. To address this gap, we suggest a model that …

Abstract Privacy-by-Design (PbD) suggests designing the fundamental architecture and
features of computing systems with privacy in mind. Although widely adopted by regulatory …

Facial recognition (FR) technology is being adopted in both private and public spheres for a
wide range of reasons, from ensuring physical safety to providing personalized shopping …

Privacy laws govern the collection, use, and disclosure of personal information by
businesses. Through an online survey with 300 participants and a follow-up interview with …

This article proposes a user-adaptable and personalized authentication paradigm for
healthcare organizations, which anticipates to seamlessly reflect patients' episodic and …

Connected products and applications increasingly leverage users' personal data in their
core functions. Designing privacy-sensitive interfaces for such data-related applications is a …

Online surveys using crowdsourcing services have been widely adopted in academic
research projects aimed at understanding human perception and behavior. Because there is …