Fair Trade Metaphor as a Control Privacy Method for Pervasive Environments: Concepts and Evaluation
1
Instituto Tecnológico Superior Zacatecas Norte, Río Grande (Zac) 98400, Mexico
2
Instituto de Ingeniería del Conocimiento, Universidad Autónoma de Madrid, Madrid 28049, Spain
3
Escuela Politécnica Superior, Universidad Autónoma de Madrid, C. Francisco Tomás y Valiente. 11, Madrid 28049, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Jesús Fontecha
Sensors 2015, 15(6), 14207-14229; https://doi.org/10.3390/s150614207
Received: 27 April 2015 / Accepted: 4 June 2015 / Published: 16 June 2015
(This article belongs to the Special Issue Select Papers from UCAmI & IWAAL 2014 – The 8th International Conference on Ubiquitous Computing and Ambient Intelligence & the 6th International Workshop on Ambient Assisted Living (UCAmI & IWAAL 2014: Pervasive Sensing Solutions))
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. View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Esquivel, A.; Haya, P.; Alamán, X. Fair Trade Metaphor as a Control Privacy Method for Pervasive Environments: Concepts and Evaluation. Sensors 2015, 15, 14207-14229.