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!
Description: Qualitative study comparing people's visualization processes using two visualization tools: One promoting a top-down approach to visualization construction (Tableau Desktop) and one implementing a bottom-up constructive visualization approach iVoLVER). Our results show how the two approaches influence: 1) the visualization process, 2) decisions on the visualization design, 3) the feeling of control and authorship, and 4) the willingness to explore alternative designs. We discuss the complex trade-offs between the two approaches and outline considerations for designing better visualization tools.
Description: Previous research has identified trade-offs when it comes to designing visualization tools. While constructive bottom-up tools promote a hands-on, user-driven design process that enables a deep understanding and control of the visual mapping, automated tools are more efficient and allow people to rapidly explore complex alternative designs, often at the cost of transparency. We investigate how to design visualization tools that support a user-driven, transparent design process while enabling efficiency and automation, through a series of design workshops that looked at how both visualization experts and novices approach this problem.
Gonzalo Gabriel Méndez, Miguel A. Nacenta, and Uta Hinrichs. 2018. Considering Agency and Data Granularity in the Design of Visualization Tools. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA. DOI=http://dx.doi.org/10.1145/3173574.3174
Miguel A. Nacenta and Gonzalo Gabriel Méndez. 2017. iVoLVER: A Visual Language for Constructing Visualizations from In-the-Wild Data. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces. ACM, New York, NY, USA. DOI=http://doi.org/10.1145/3132272.3132299 Best demo jury award.
Gonzalo Gabriel Méndez, Uta Hinrichs, and Miguel A. Nacenta. 2017. 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
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, 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
Would you like to try iVoLVER? The only thing you need is a web browser and lots of imagination!