Dynamic Generation of Interactive Dialogs Based on Intelligent Agents

Abstract

The design of the lexical and syntactical levels of the user interface of any web based system is commonly based on general human-computer interaction principles targeted to match the interaction requirements of the so-called typical user, an abstract generalization of each user of an application. However the identification of such typical user at the web design stage seems to be an impossible task, considering the dynamic nature of the web, where the user interface of a popular web systems can be used by thousands of different users everyday. In order to avoid this problem, we have designed GADEA, an intelligent user interface management system able to detect different kinds of users by mean of distributed data gathering agents. The information obtained by those agents is used to design interactive dialogues at execution time, which are adapted to the specific cognitive, perceptive and motor characteristics of the current user.