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The Empathic Visualisation Algorithm (EVA) - An automatic mapping from abstract data to naturalistic visual structure

Loizides, A; Slater, M; (2002) The Empathic Visualisation Algorithm (EVA) - An automatic mapping from abstract data to naturalistic visual structure. In: Williams, AD, (ed.) SIXTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS. (pp. 705 - 712). IEEE COMPUTER SOC

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Abstract

This paper demonstrates a technique for visualising multidimensional data sets holistically. The EVA algorithm provides an automatic mapping front semantically important features of the data to emotionally or perceptually significant features of the corresponding visual structure (such as a face). In other words a single glance at the visual structure informs the observer of the global state of the data, since the visual structure has an emotional impact on the observer. The visualisation is designed to correspond to the impact that would have been generated had the observer been able to access the relevant semantics of the underlying data.

Type:Proceedings paper
Title:The Empathic Visualisation Algorithm (EVA) - An automatic mapping from abstract data to naturalistic visual structure
Event:6th International Conference on Information Visualisation
Location:LONDON, ENGLAND
Dates:2002-07-10 - 2002-07-12
ISBN:0-7695-1656-4
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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