Privacy Care

Abstract

The emergence of ubiquitous computing (UbiComp) environments has increased the risk of undesired access to individuals’ physical space or their information, anytime and anywhere, raising potentially serious privacy concerns. Individuals lack awareness and control of the vulnerabilities in everyday contexts and need support and care in regulating disclosures to their physical and digital selves. Existing GUI-based solutions, however, often feel physically interruptive, socially disruptive, time-consuming and cumbersome. To address such challenges, we investigate the user interaction experience and discuss the need for more tangible and embodied interactions for effective and seamless natural privacy management in everyday UbiComp settings. We propose the Privacy Care interaction framework, which is rooted in the literature of privacy management and tangible computing. Keeping users at the center, Awareness and Control are established as the core parts of our framework. This is supported with three interrelated interaction tenets: Direct, Ready-to-Hand, and Contextual . Direct refers to intuitiveness through metaphor usage. Ready-to-Hand supports granularity, non-intrusiveness, and ad hoc management, through periphery-to-center style attention transitions. Contextual supports customization through modularity and configurability. Together, they aim to provide experience of an embodied privacy care with varied interactions that are calming and yet actively empowering. The framework provides designers of such care with a basis to refer to, to generate effective tangible tools for privacy management in everyday settings. Through five semi-structured focus groups, we explore the privacy challenges faced by a sample set of 15 older adults (aged 60+) across their cyber-physical-social spaces. The results show conformity to our framework, demonstrating the relevance of the facets of the framework to the design of privacy management tools in everyday UbiComp contexts.

To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

“…With the arrival of big data era when people’s words and deeds are increasingly digitized, the concept of privacy has been expanded to encompass all personal information and sensitive data that are actively disseminated by individuals or passively collected by information systems (Kaur et al. , 2023; Mehta et al. , 2021).…”

“…Perceived risks, on the contrary, are the potential harm and loss realized by users who disclose their privacy to the public (Milberg et al, 2000). With the arrival of big data era when people's words and deeds are increasingly digitized, the concept of privacy has been expanded to encompass all personal information and sensitive data that are actively disseminated by individuals or passively collected by information systems (Kaur et al, 2023;Mehta et al, 2021). According to Iceberg model, privacy in social media could be divided into two components (Shozi et al, 2017): the "visible" part is the intimate information actively submitted by each user to single social media platform, while the "invisible" part is big data of private information mined and integrated from multi-source fragment information.…”