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Future challenges and unsolved problems in multi-field visualization

  • Robert S. Laramee
  • , Hamish Carr
  • , Min Chen
  • , Helwig Hauser
  • , Lars Linsen
  • , Klaus Mueller
  • , Vijay Natarajan
  • , Harald Obermaier
  • , Ronald Peikert
  • , Eugene Zhang
  • Swansea University
  • University of Leeds
  • University of Oxford
  • University of Bergen
  • Constructor University
  • Indian Institute of Science Bangalore
  • University of California at Davis
  • Swiss Federal Institute of Technology Zurich
  • Oregon State University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Evaluation, solved and unsolved problems, and future directions are popular themes pervading the visualization community over the last decade. The top unsolved problem in both scientific and information visualization was the subject of an IEEE Visualization Conference panel in 2004. The future of graphics hardware was another important topic of discussion the same year. The subject of how to evaluate visualization returned a few years later. Chris Johnson published a list of 10 top problems in scientific visualization research. This was followed up by report of both past achievements and future challenges in visualization research as well as financial support recommendations to the National Science Foundation (NSF) and National Institute of Health (NIH). Chen recently published the first list of top unsolved information visualization problems. Future research directions of topology-based visualization was also a major theme of a workshop on topology-based methods. Laramee and Kosara published a list of top future challenges in human-centered visualization.

Original languageEnglish
Pages (from-to)205-211
Number of pages7
JournalMathematics and Visualization
Volume37
DOIs
StatePublished - 2014

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