Our daily interactions with the environment are mediated through technologies that collect, process, and store personal data. Living in a ‘digital society’ means thus sharing intimate information and moments with automated systems and relying on such technology in mundane as well as critical moments. The design of such systems has important consequences, not only with respect to how private information is handled and shared but also with respect to how much trust is (sometimes misguidedly) placed on automated systems. Interdisciplinary research on how to design technology that is privacy-friendly, trustworthy, and benefits society is thus required.
In this topical collection, we seek interdisciplinary contributions that critically examine how automated systems change the way we live, work, care, and interact with each other. We are interested in contributions that focus on how privacy and trust are challenged and conceptualized through the increased reliance on automated systems and its implications on design. We particularly encourage submissions on emerging automated systems applied to vulnerable groups such as seniors and children, with ambient assisted living (AAL) technologies as the key technology of interest (i.e., audio-based and video-based applications to monitor elderly or frail people).
The topical collection will seek to cover but is not limited to the following aspects:
Research on system trust (i.e., trust between humans and automation) and link to privacy and data protection
Ethical, legal, and societal aspects of trustworthy and privacy-friendly automation
Empirical studies of privacy and trust of interactive systems
Design approaches to support system trust and trustworthiness
Personalization of privacy and transparency requirements and its impact on system trust
Design for privacy and transparency
Usable privacy and security and their implications for systems trust
Overtrust in automation and its implications
Issues of unequal access to and benefits from privacy-friendly and trustworthy automation among different population groups