• DocumentCode
    2174432
  • 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
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    705
  • Lastpage
    712
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation, 2002. Proceedings. Sixth International Conference on
  • ISSN
    1093-9547
  • Print_ISBN
    0-7695-1656-4
  • Type

    conf

  • DOI
    10.1109/IV.2002.1028852
  • Filename
    1028852