iVoLVER is a tool that allows users to create visualizations without textual programming. It is designed to enable flexible acquisition of many types of data (text, colors, shapes, quantities, dates) from multiple source types (bitmap charts, webpages, photographs, SVGs, CSV files) and, within the same canvas, supports transformation of that data through simple widgets to construct interactive animated visuals.
Aside from the tool, which is web-based and designed for pen and touch, we contribute the design of the interactive visual language and widgets for extraction, transformation, and representation of data. We demonstrate the flexibility and expressive power of the tool through a set of scenarios, and discuss some of the challenges encountered and how the tool fits within the current InfoVis tool landscape.
Have a look at some scenarios that show how iVoLVER can be used to support infovis in new situations.
They all are available in live videos!
Gonzalo Gabriel Méndez, Miguel A. Nacenta, and Sebastien Vandenheste. 2016. iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 4073-4085. DOI=http://dx.doi.org/10.1145/2858036.2858435
Gonzalo Gabriel Méndez and Miguel A. Nacenta. 2016. Constructing Interactive Visualizations with iVoLVER. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16). ACM, New York, NY, USA, 3727-3730. DOI=http://dx.doi.org/10.1145/2851581.2890243
Gonzalo Gabriel Méndez. 2016. Tools for Opportunistic Information Visualization: Visual Analysis with Non-traditional Data Sources. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Cambridge, United Kingdom, 2016, pp. 250-251. DOI=http://dx.doi.org/10.1109/VLHCC.2016.7739701
Gonzalo Gabriel Méndez and Miguel A. Nacenta. 2016. Opportunistic Visualization with iVoLVER. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Cambridge, United Kingdom, 2016, pp. 234-235. DOI=http://dx.doi.org/10.1109/VLHCC.2016.7739693
Gonzalo Gabriel Méndez, Uta Hinrichs, and Miguel A. Nacenta. 2016. Bottom-up vs. Top-down: Trade-offs in Efficiency, Understanding, Freedom and Creativity with InfoVis Tools. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA. DOI=http://dx.doi.org/10.1145/3025453.3025942
Would you like to try iVoLVER? The only thing you need is a web browser and lots of imagination!
iVoLVER is open source. Get the latest version.