Ivolver: A Visual Language For Constructing Visualizations From In-The-Wild Data

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON INTERACTIVE SURFACES AND SPACES (ACM ISS 2017)(2017)

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摘要
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.
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关键词
Information visualization,visual information extraction,visual languages for visualization,constructive visualization,democratization of information
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