Mediating diverse visualisations for comprehension

For ease of use, comprehension, and general acceptability it is important that tools that purport to aid comprehension are able to provide a variety of customisable views. The most important underlying factor is the wide differences between users in terms of their culture, experience, visual together, working preferences, and general abilities. Comprehension studies have also shown that different views, and the ability to selectively filter data are important. Combining all of these ideals into one, automated infrastructure is the focus of this paper. Component technologies provide a way of making this a reality, and also for providing visualisation creators with a general application into which they can leverage their work. Advances in this arena have allowed for component brokerage and automatic dynamic data connections to become an actuality.