LAUSR

Collective feedback can support an individual's decision-making process. For instance, individuals often seek the advice of friends, family, and co-workers to help them make privacy decisions. However, current technologies often do not provide mechanisms for this type of collaborative interaction. To address this gap, we propose a novel model of Community Oversight for Privacy and Security ("CO-oPS"), which identifies mechanisms for users to interact with people they trust to help one another make digital privacy and security decisions. We apply our CO-oPS model in the context of mobile applications ("apps"). To interrogate and refine this model, we conducted participatory design sessions with 32 participants in small groups of 2-4 people who know one another, with the goal of designing a mobile app that facilitates collaborative privacy and security decision-making. We describe and reflect on the opportunities and challenges that arise from the unequal motivation and trust in seeking support and giving support within and beyond a community. Through this research, we contribute a novel framework for collaborative digital privacy and security decision-making and provide empirical evidence towards how researchers and designers might translate this framework into design-based features.