ABSTRACT

Empathic Visualisation Algorithm (EVA)

Andreas Loizides, UCL

In recent years there has been a rapid expansion in the quantities of data available from on-line resources, data warehouses and other information repositories. This has created the need for new approaches to visualise these complex data sets. Information Visualisation enables users to interpret large amounts of information to reveal structure, extract meaning, and navigate large and complex information worlds.

This project is investigating the use of naturalistic visual structures (like faces) as representations of multivariate abstract data sets with the aim of increasing both cognition and understanding. Instead of processing individual details and have as our output numbers and text, we examine the use of the visual system to process visual structures holistically and thus obtain an overall global view of a data set. We are thus gaining information out of an overall view of qualitative measurements.

EVA, the method used in this project to visualise complex data sets, can be thought of as the initial step to establish a clearer pictorial representation of a problem.

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