Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization

Sahaj Vaidya, Aritra Dasgupta

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

Abstract

Despite the widespread use of charts as a medium for communicating data in science domains, we lack a systematic understanding of the goals and principles of effective visual communication. Existing research mostly focuses on the means, i.e. the encoding principles, and not the end, i.e. the key takeaway of a chart. To address this gap, we start from the first principles and aim to answer the fundamental question: how can we describe the message of a scientific chart? We contribute a fact-evidence reasoning framework (FaEvR) by augmenting the conventional visualization pipeline with the stages of gathering and associating evidence for decoding the facts presented in a chart. We apply the resulting classification scheme of fact and evidence on a collection of 500 charts collected from publications in multiple science domains. We demonstrate the practical applications of FaEvR in calibrating task complexity and detecting barriers towards chart interpretability.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE Visualization Conference, VIS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages231-235
Number of pages5
ISBN (Electronic)9781728180144
DOIs
StatePublished - Oct 2020
Externally publishedYes
Event2020 IEEE Visualization Conference, VIS 2020 - Virtual, Salt Lake City, United States
Duration: Oct 25 2020Oct 30 2020

Publication series

NameProceedings - 2020 IEEE Visualization Conference, VIS 2020

Conference

Conference2020 IEEE Visualization Conference, VIS 2020
Country/TerritoryUnited States
CityVirtual, Salt Lake City
Period10/25/2010/30/20

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Modeling and Simulation

Keywords

  • Visual communication
  • chart interpretation
  • graphical reasoning
  • scientific communication

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