Abstract
This paper presents a proof of concept from which the metaphor of “fair trade” is validated as an alternative to manage the private information of users. Our privacy solution deals with user's privacy as a tradable good for obtaining environmental services. Thus, users gain access to more valuable services as they share more personal information. This strategy, combined with optimistic access control and transaction registry mechanisms, enhances users' confidence in the system while encouraging them to share their information, with the consequent benefit for the community. The study results are promising considering the user responses regarding the usefulness, ease of use, information classification and perception of control with the mechanisms proposed by the metaphor.
Highlights
Ambient intelligence is a promising research area that opens attractive perspectives for improving human-computer interaction
Privacy management should be a continuous negotiation in which the definition of the public and private boundaries will depend directly on the user’s context
We developed a context-aware privacy-sensitive instant messenger with which to evaluate how feasible the “fair trade” metaphor is as a privacy control mechanism
Summary
Ambient intelligence is a promising research area that opens attractive perspectives for improving human-computer interaction. Several technological methods have been used by organizations to address privacy [4,5] as result of the mix between computer security and cryptography fields [6]. In this sense, a major step in leveraging AmI comes from overcoming their legal [7], ethical and psychological issues [8]. Privacy management is a constant process of limit regulation. Those limits to accessibility of personal information determine the “sincerity”, or “openness”, or “distrust”, or “closeness” characterizing the user and his/her current context
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