Uncertainty visualisation: an interactive visual survey

Amit Jena, Ulrich Engelke, Tim Dwyer, Venkatesh Raiamanickam, Cecile Paris

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Abstract

There exists a gulf between the rhetoric in visualisation research about the significance of uncertainty and the inclusion of representations of uncertainty in visualisations used in practice. The graphical representation of uncertainty information has emerged as a problem of great importance in visualisation research. This contribution presents a survey of 286 uncertainty visualisation research publications. All publications are categorised with regard to publication type, publication venue, application domain, target user, and evaluation type. We present an interactive web-based browser that facilitates easy visual search and exploration of the publications included in the survey. We conclude that uncertainty visualisation is severely limited by the quality and scope of uncertainty data, by the limited confidence in the data, and by the perceptual and cognitive confusion that the graphical representation of the data can generate.

Original languageEnglish
Title of host publication2020 IEEE Pacific Visualization Symposium (PacificVis)
Subtitle of host publicationTianjin, China, 14–17 April, 2020, Proceedings
EditorsFabian Beck, Jinwook Seo, Chaoli Wang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages201-205
Number of pages5
ISBN (Electronic)9781728156972
ISBN (Print)9781728156989
DOIs
Publication statusPublished - 2020
EventIEEE Pacific Visualization Symposium 2020 - Tianjin, China
Duration: 3 Jun 20205 Jun 2020
Conference number: 13th
https://ieeexplore.ieee.org/xpl/conhome/9082508/proceeding (Proceedings)
http://vis.tju.edu.cn/pvis2020/ (Website)

Publication series

NameIEEE Pacific Visualization Symposium
PublisherIEEE, Institute of Electrical and Electronics Engineers
Volume2020-June
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

ConferenceIEEE Pacific Visualization Symposium 2020
Abbreviated titlePacificVis 2020
Country/TerritoryChina
CityTianjin
Period3/06/205/06/20
Internet address

Keywords

  • Human-centered computing
  • Uncertainty Visualization; Human-centered computing
  • Visualization
  • Visualization application domains

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