iVoLVER: a visual language for constructing visualizations from in-the-wild data

Miguel A. Nacenta, Gonzalo Gabriel Méndez

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

4 Citations (Scopus)

Abstract

iVoLVER, the Interactive Visual Language for Visualization Extraction and Reconstruction, is a web-based pen-and-touch interface that graphically supports construction of interactive visualizations. iVoLVER is designed to enable data extraction from different types of artifacts (e.g., photos) and to use that data to generate original representations of that data. People can create visualizations from data that is not structured in traditional formats without the need of textual programming or sitting at their desk. This demonstration shows how iVoLVER visualizations are constructed and also demonstrates the possible uses of iVoLVER in several contexts.

Original languageEnglish
Title of host publicationProceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017
PublisherACM
Pages438-441
Number of pages4
ISBN (Electronic)9781450346917
DOIs
Publication statusPublished - 17 Oct 2017
Event2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017 - Brighton, United Kingdom
Duration: 17 Oct 201720 Oct 2017

Conference

Conference2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017
Country/TerritoryUnited Kingdom
CityBrighton
Period17/10/1720/10/17

Keywords

  • Constructive visualization
  • Democratization of information
  • Information visualization
  • Visual information extraction
  • Visual languages for visualization

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