Grand challenge problems in visualization software

Discusses issues relating to the complexity of scientific visualization software system implementation. It is argued that the complexity of current implementations of such systems may limit the utility for users because the interfaces typically require significant knowledge of the data being studied and the applicable visualization algorithms, as well as its infrastructure of graphics, imaging and data handling technology. The issues, unknowns, and possible solutions associated with building effective scientific visualization software are discussed.<<ETX>>