Capitalizing on knowledge for an adaptive user interface

Abstract

Hypermedia data browsing is a mean for improving information access. However, the overload and the heterogeneity of medical information, as well as the multitude of possible navigational paths, turn the consultation of data into a difficult task. We present in this paper a solution for the development of adaptive user interfaces in a hypermedia data browsing environment. It is based on the capitalization of the users knowledge in the decision-making process, expressed in terms of navigational paths and of data presentation modes that are customized to the user's preferences. This capitalization offers the user a way to reuse the cumulative experiences in browsing through patient records. We illustrate our approach with the implementation of HEMA, a clinical workstation prototype.