Towards a Collective Awareness Platform for Privacy Concerns and Expectations

Abstract

In an increasingly instrumented and interconnected digital world, citizens generate vast amounts of data, much of it being valuable and a significant part of it being personal. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain deeply undecided issues. This paper proposes CAPrice, a socio-technical solution based on collective awareness and informed consent, whereby data collection and use by digital products are driven by the expectations and needs of the consumers themselves, through a collaborative participatory process and the configuration of collective privacy norms. The proposed solution relies on a new innovation model that complements existing top-down approaches to data protection, which mainly rely on technical or legal provisions. Ultimately, the CA-Price ecosystem will strengthen the trust bond between service developers and users, encouraging innovation and empowering the individuals to promote their privacy expectations as a quantifiable, community-generated request.

Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society

“…• Not sure (7) What do you believe are the most significant challenges the smart [home/health] system providers face in protecting the security and privacy of their users? You can name more than one challenge.…”

“…On the other hand, one needs to avoid making the controls too complicated; if needed, provide only the most important options to the user (ideally, implementing privacy by default), while letting them have access to more fine-grained options if they want to. One potential way to do this could be by using a collective action based mechanism to address user concerns as proposed by Flouris et al [7] which would allow users' to communicate their security and privacy preferences to each other.…”

REWARD: Ontology for Reward Schemes

“…We present a use case implemented in the context of CAP-A project 5 (Fig.1, bottom part). The REWARD Ontology is used as a general-model for building the rewarding framework of CAP-A which aims to engage users in participating in crowdsourcing tasks for improving privacy awareness on mobile applications [3].…”

A Rewarding Framework for Crowdsourcing to Increase Privacy Awareness

“…Achieving privacy-awareness is difficult [36], but better results are achieved if users join forces through a crowdsourcing approach [17,14]. For example, in [32,38,7], crowdsourcing has been employed to allow users to annotate PrPs to clarify privacy practices, and thus improve their privacy knowledge.…”