How to conciliate conflicting users´ interests for different collective, ubiquitous and context-aware applications?

Ubiquitous systems are generally embedded into the environment and provide their services all the time and everywhere. In order to increase transparency and personalization, ubiquitous applications are normally context-aware, i.e., they use information about entities of interest to adapt their services. Since they are connected to everyday elements, such systems are frequently shared by two or more users, who may provide conflicting contextual data. Therefore, these systems can reach an inconsistent state, in which they are unable to decide how to perform their intended adaptations. This work proposes a novel methodology that can detect and solve conflicts of interest for ubiquitous context-aware applications with different characteristics. Besides, the developed approach considers the trade-off between quality of services and resources consumption in order to select and apply a conflict resolution algorithm. Results obtained through simulations showed that the proposed solution can provide reasonable users´ satisfaction levels, as well as to save system resources.