Title :
The empathic visualisation algorithm (EVA) - an automatic mapping from abstract data to naturalistic visual structure
Author :
Loizides, Andreas ; Slater, Mel
Author_Institution :
Dept. of Comput. Sci., Univ. Coll. London, UK
Abstract :
This paper demonstrates a technique for visualising multidimensional data sets holistically. The EVA algorithm provides an automatic mapping from 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.
Keywords :
abstract data types; data visualisation; human factors; abstract data; automatic mapping; empathic visualisation algorithm; multidimensional data sets; naturalistic visual structure; semantically important features; Computer science; Data visualization; Educational institutions; Emotion recognition; Face; Genetic programming; Humans; Investments; Multidimensional systems; Profitability;
Conference_Titel :
Information Visualisation, 2002. Proceedings. Sixth International Conference on
Print_ISBN :
0-7695-1656-4
DOI :
10.1109/IV.2002.1028852