The design of an adaptive agent driven search system for empowering disenfranchised users

Abstract

This research is about designing and testing a usable, adaptive search system for disenfranchised users. It involves developing the adaptive agent model and architecture for the tool as well as researching its effectiveness for the users. The potential users for this system are not only naïve about computer driven technology but are also inhibited to try one, which is a consequence of digital divide. They have not experienced a technology-driven environment where computer has become just another tool to mechanize the daily lives. In this respect they are disenfranchised and they belong to the segment that falls under Poor America. Naturally, handing over another search system will not bridge the divide or empower the disenfranchised users. In order to help them overcome the inhibition, this tool has to be, at the very least, easy to use. Therefore as part of the solution, an adaptive, agent-driven search system is being developed. The system will adapt and personalize the process of search to support individual goals and social needs.