Efficient user interest estimation in fisheye views

ABSTRACT

We present a new technique for efficiently computing Degree-of-Interest distributions to inform the visualization of graph-structured data. The technique is independent of the interest distribution used and enables fluid interaction with very large data sets (over 100,000 nodes).

REFERENCES

• 1: Stuart K. Card , Allen Newell , Thomas P. Moran, The Psychology of Human-Computer Interaction, Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 1983
• 2: S. K. Card and D. Nation, "Degree-of-Interest Trees: A Component of an attention-reactive user interface," in Advanced Visual Interfaces '02, Trento, Italy, 2002.
• 3: G. W. Furnas, The FISHEYE view: a new look at structured files, Readings in information visualization: using vision to think, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1999
• 4: G. W. Furnas, Generalized fisheye views, Proceedings of the SIGCHI conference on Human factors in computing systems, p.16-23, April 13-17, 1986, Boston, Massachusetts, United States

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems

Keywords:
fisheye view, focus+context, information visualization