Efficient Support of Context-Driven Interfaces for Mobile Devices

Abstract

We examine the performance of the Fast Map algorithm when applied on mobile devices for context dimensionality reduction. Our results show that this algorithm is extremely fast and is appropriate for mobile context datasets that need to be processed in real time. This fact supports our vision for context-driven interfaces generated by applying the method of mobile context dimensionality reduction that will support the richness of data stored in personal devices.