The Role of Visual Perception in Data Visualization

Abstract This paper presents a perceptually motivated formal framework for effective visualization of relational data. In this framework, the intended structure of data and the perceptual structure of visualizations are formally and uniformly defined in terms of relations that are induced on data and visual elements by data and visual attributes, respectively. Visual attributes are analyzed and classified from the perceptual point of view and in terms of perceptual relations that they induce on visual elements. The presented framework satisfies a necessary condition for effective data visualizations. This condition is formulated in terms of a structure preserving map between the intended structure of data and the perceptual structure of visualization.

[1]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[2]  P A van der Helm.  The dynamics of Prägnanz. , 1994, Psychological research.

[3]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[4]  Henk Zeevat,et al.  A syntax directed approach to picture semantics , 1996 .

[5]  Marian Petre,et al.  Learning to Read Graphics: Some Evidence that 'Seeing' an Information Display is an Acquired Skill , 1993, J. Vis. Lang. Comput..

[6]  Jacques Bertin,et al.  Graphics and graphic information-processing , 1981 .

[7]  Corin A. Gurr,et al.  Effective Diagrammatic Communication: Syntactic, Semantic and Pragmatic Issues , 1999, J. Vis. Lang. Comput..

[8]  Mehdi Dastani,et al.  Languages of perception , 1998 .

[9]  Jock D. Mackinlay,et al.  Automating the design of graphical presentations of relational information , 1986, TOGS.

[10]  John S. Gero,et al.  Modeling Creativity and Knowledge-Based Creative Design , 1993 .

[11]  Gene Golovchinsky,et al.  Towards a generative theory of diagram design , 1995, Proceedings of Visualization 1995 Conference.

[12]  W. R. Garner.  The Processing of Information and Structure , 1974 .

[13]  Michael Twyman,et al.  A Schema for the Study of Graphic Language (Tutorial Paper) , 1979 .

[14]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[15]  Peter A. van der Helm,et al.  The dynamics of Prägnanz , 1994 .

[16]  Thomas Kamps,et al.  A constructive theory for diagram design and its algorithmic implementation , 1999 .

[17]  N. Hari Narayanan,et al.  Visual language theory: towards a human computer interaction perspective , 1998 .

[18]  Johann Pfanzagl,et al.  Theory of measurement , 1970 .

[19]  R. Angier,et al.  The structure and synthesis of the liver L. casei factor. , 1946, Science.

[20]  R. Cowie,et al.  The perception of structure , 1997 .

[21]  S S Stevens,et al.  On the Theory of Scales of Measurement. , 1946, Science.

[22]  Paul A. Kolers,et al.  Processing of visible language , 1979 .

[23]  R.J.H. Scha,et al.  The Visual grammar of Information Graphics , 1996 .

[24]  Ehud Reiter,et al.  Avoiding Unwanted Conversational Implicatures in Text and Graphics , 1990, AAAI.

[25]  R. Shepard.  Integrality versus separability of stimulus dimensions: From an early convergence of evidence to a p , 1991 .