An organic visual metaphor for public understanding of conditional co-occurrences

Keshav Dasu, Takanori Fujiwara, Kwan Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Decisions made by domain experts, such as in healthcare and market research, are influenced by the conditional co-occurrence of different events. Learning about conditional co-occurrence is also beneficial for non-experts-the general public. By understanding the co-occurrences of diseases, it is easier to understand which diseases individuals are susceptible to. However, co-occurrence data is often complex. In order for a public understanding of conditional co-occurrence, there needs to be a simpler form to convey such complex information. We introduce an organic visual metaphor, which can provide a summary of the conditional co-occurrences within a large set of items and is accessible to the public with its organic shape. We develop a prototype application offering not only an overview for users to gain insights on how co-occurrence patterns evolve based on user-defined criteria (e.g., how do sex and age affect likelihood), but also functionality to explore the hierarchical data in-depth. We conducted two case studies with this prototype to demonstrate the effectiveness of our design.

Original languageEnglish (US)
Title of host publication2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings
EditorsBerk Geveci, Gordon Kindlmann, Luis Gustavo Nonato
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538668825
DOIs
StatePublished - Oct 2018
Event2018 IEEE Scientific Visualization Conference, SciVis 2018 - Berlin, Germany
Duration: Oct 21 2018Oct 26 2018

Publication series

Name2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings

Conference

Conference2018 IEEE Scientific Visualization Conference, SciVis 2018
CountryGermany
CityBerlin
Period10/21/1810/26/18

Keywords

  • Conditional co-occurrence
  • Conditional probability
  • Egocentric visualization
  • Visual metaphor

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Media Technology

Cite this

Dasu, K., Fujiwara, T., & Ma, K. L. (2018). An organic visual metaphor for public understanding of conditional co-occurrences. In B. Geveci, G. Kindlmann, & L. G. Nonato (Eds.), 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings (pp. 1-5). [8823624] (2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SciVis.2018.8823624