University of Manitoba
Thursday, July 21, 11:30-12:30
GINIus Demo Room
Visualization of Structured Information Based on Theories
Information is commonly structured, presented
communicated using diagrams. One particular type of diagram that
played a predominant role in the Information Sciences is the node-
diagram. Nodes that represent entities, objects, or units and links
that represent relationships of various kinds between the nodes
characterize this type of diagram. Visually these nodes are
represented using outline forms such as boxes and circles and the
links have been depicted with lines consisting of different
characteristics. Embedded in these visual structures are a set of
semantics or concepts that are important to the user.
Recent advances in perception present evidence that our visual
is endowed with the capability of recognizing objects from their
structural composition. This structure is inherently 3D in nature.
This presentation will describe the application of several theories of
perception for creating diagrams that are more expressive tools for
communicating abstract information and semantics. The results of
several experiments comparing the perceptual representation to
conventional representations will be discussed. The presentation
also discuss the application of the perceptual notations and their
extensions for depicting information that is not static. The talk will
conclude with a discussion of ongoing research for representing
non-static semantics and the issues involved in displaying these.
Pourang Irani has been an Assistant Professor in Computer
the University of Manitoba since receiving his PhD from the
of New Brunswick in 2002. His research is in human-computer
interaction with a focus on information visualization. He is currently
interested in the display of dynamic information and on applying
theories of motion perception to animated displays.
Everyone is Welcome