Can we determine the top unresolved problems of visualization?

Theresa Marie Rhyne; Bill Hibbard; Chris Johnson; Chaomei Chen; Steve Eick

Can we determine the top unresolved problems of visualization?

Theresa Marie Rhyne, Bill Hibbard, Chris Johnson, Chaomei Chen, Steve Eick

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

The top unresolved problems in visualization were investigated by panelists from both the information and scientific visualization domains. One of the key unresolved challenges in visualization is collaboration in its broadest sense. Visualization 'scientists' need to spend more time understanding the underlying science applications in order to create effective visual representations. In order to 'evolve' visualization into a more scientific enquiry, visualization scientists need to understand and use the scientific method such as formulation of an hypothesis to explain the phenomena. Effective human computer interaction continues to be one of the top research and development goals for both visualization and computer graphics.

Original language	English
Title of host publication	IEEE Visualization 2004 - Proceedings, VIS 2004
Editors	H. Rushmeier, G. Turk, J.J. Wijk
Pages	563-565
Number of pages	3
Publication status	Published - 2004
Event	IEEE Visualization 2004 - Proceedings, VIS 2004 - Austin, TX, United States Duration: 2004 Oct 10 → 2004 Oct 15

Publication series

Name	IEEE Visualization 2004 - Proceedings, VIS 2004

Other

Other	IEEE Visualization 2004 - Proceedings, VIS 2004
Country/Territory	United States
City	Austin, TX
Period	04/10/10 → 04/10/15

All Science Journal Classification (ASJC) codes

Engineering(all)

Cite this

@inproceedings{459f74dbac424b4eb3295229ece84a10,

title = "Can we determine the top unresolved problems of visualization?",

abstract = "The top unresolved problems in visualization were investigated by panelists from both the information and scientific visualization domains. One of the key unresolved challenges in visualization is collaboration in its broadest sense. Visualization 'scientists' need to spend more time understanding the underlying science applications in order to create effective visual representations. In order to 'evolve' visualization into a more scientific enquiry, visualization scientists need to understand and use the scientific method such as formulation of an hypothesis to explain the phenomena. Effective human computer interaction continues to be one of the top research and development goals for both visualization and computer graphics.",

author = "Rhyne, {Theresa Marie} and Bill Hibbard and Chris Johnson and Chaomei Chen and Steve Eick",

year = "2004",

language = "English",

isbn = "0780387880",

series = "IEEE Visualization 2004 - Proceedings, VIS 2004",

pages = "563--565",

editor = "H. Rushmeier and G. Turk and J.J. Wijk",

booktitle = "IEEE Visualization 2004 - Proceedings, VIS 2004",

note = "IEEE Visualization 2004 - Proceedings, VIS 2004 ; Conference date: 10-10-2004 Through 15-10-2004",