People, place, and time: Inferences from diagrams

Barbara Tversky, Jie Gao, James E. Corter, Yuko Tanaka, Jeffrey V. Nickerson

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

2 Scopus citations

Abstract

Keeping track of things as they move in space and time is a task common to scientists, marketers, spies, coaches, and more. Visualizations of complex information aid drawing inferences and conclusions but there are many ways to represent data. Here we show that the kinds of inferences people draw depend on the kind of visualization, boxes in tables or lines in graphs. Lines link and boxes contain; they both direct attention and create meaning.

Original languageEnglish
Title of host publicationDiagrammatic Representation and Inference - 9th International Conference, Diagrams 2016, Proceedings
EditorsMateja Jamnik, Yuri Uesaka, Stephanie Elzer Schwartz
Pages258-264
Number of pages7
DOIs
StatePublished - 2016
Event9th International Conference on the Theory and Applications of Diagrams, Diagrams 2016 - Philadelphia, United States
Duration: 7 Aug 201610 Aug 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9781
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on the Theory and Applications of Diagrams, Diagrams 2016
Country/TerritoryUnited States
CityPhiladelphia
Period7/08/1610/08/16

Keywords

  • Data displays
  • Diagrams
  • Inference
  • Information visualization

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